prompt stringlengths 12k 12.3k | completion stringlengths 8.93k 40.3k | finish_reason stringclasses 2
values | generated_tokens int64 3.66k 8.19k |
|---|---|---|---|
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a segmented consensus protocol for blockchain
- **Step 677 (Core Process):** train a polygenic risk score using L2-regularized logistic regression with cross-validation
- **Approach:** using a random Fourier feature expansion for kern... | stop | 5,578 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create a self-supervised speech representation model for low-resource languages
- **Step 182 – Core Process:** train a polygenic risk score using L2-regularized logistic regression with cross-validation
- **Step four units – Evaluation:** dep... | stop | 5,228 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** forecast molecular properties with graph neural networks
- **Step 407 – Preparation:** convert raw logs into event sequences with a fixed window size of 377× tokens
- **Approach:** using a transformer with longitudinal attention for EHR data
... | stop | 5,547 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with ailment using GWAS
- **Step 3 (Optimization):** apply parameter averaging over the last 10.0 epochs of training
- **Approach:** using a generative competitive network with gradient penalty
- **S... | stop | 6,015 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Step 959 – Preparation:** curate a multi ‑ domain dataset from 3.0 different sources , applying a 70× / fifteen units / 183× train / val / test split
- **Step duo – Core Pr... | stop | 5,731 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a pharmacokinetic model for personalized dosing
- **Step 48.35 – Optimization:** implement a second-order optimizer with Gauss-Newton approximation
- **Approach:** using a random Fourier feature expansion for kernel methods
- *... | stop | 5,443 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model protein folding using diffusion models
- **Step tetrad – Evaluation:** evaluate on a held ‑ out test set stratified by malady severity and age groups
- **Step twice – Core Process:** implement chain-of-thought reasoning with the number ... | stop | 4,860 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict protein-ligand binding affinity using geometric deep learning
- **Step two units – Core Process:** train using expectation-maximization for latent variable models
- **Step four – Evaluation:** perform a two-sample Kolmogorov-Smirno... | stop | 4,747 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** forecast molecular properties with graph neural networks
- **Step 878 – Preparation:** align medical patient timelines to a common index event and discretize time into 329-day windows
- **Constraint:** while being robust to confrontational pe... | stop | 6,847 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze economic mobility using causally‑aware inference methods
- **Constraint:** with a minimum performance guarantee of 80 % accuracy on worst ‑ case inputs
- **Step 844× – Evaluation:** measure F2 score ( beta = two units ) to emphasize r... | stop | 6,388 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Constraint:** while maintaining explainability for regulatory compliance
- **Approach:** using a generative competitive network with gradient penalty
- **Step three – Optim... | stop | 6,394 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict antibiotic resistance from chromosomal sequences
- **Step 59× – Evaluation:** analyze performance on tenfold different answer choice distributions
- **Constraint:** under a hardware constraint of 4-bit integer arithmetic only
- **S... | stop | 6,706 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a robust physics-informed neural network for PDEs
- **Constraint:** with a maximum training time of 6 hours on a single GPU
- **Approach:** via a complex-valued neural network for signal processing
- **Step two – Core Process:** pe... | stop | 6,402 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** build a real ‑ time advice system for e ‑ commerce
- **Step 512 – Preparation:** apply wavelet denoising to remove high-frequency instrumental noise
- **Step Ⅱ – Core Process:** use a reversible jump MCMC for model selection across fivefol... | stop | 5,616 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a robust physics-informed neural network for PDEs
- **Step twice – Core Process:** use a Hamiltonian Monte Carlo with a dozen minus two leapfrog steps and zero point zero one integration time
- **Step 18 – Preparation:** align medical... | stop | 5,794 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a control system for autonomous vehicles under uncertainty
- **Constraint:** under a hardware constraint of 491-bit integer arithmetic only
- **Approach:** via a multiple instance learning framework for pathology
- **Step 524 (O... | stop | 5,293 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a decentralized consensus protocol for blockchain
- **Step duo – Core Process:** perform cross ‑ validation across five folds and record per ‑ fold metrics
- **Constraint:** with a maximum training time of 6 hours on a single GPU
-... | stop | 7,339 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** construct a legal reasoning benchmark for contract analysis
- **Step 4 (Evaluation):** evaluate on a held ‑ out test set stratified by syndrome severity and age groups
- **Approach:** via a survival analysis model with time-varying covariates... | stop | 6,507 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model human decision-making in strategic games using bounded rationality
- **Step three units – Optimization:** apply prompt ensembling with five units different prompt templates
- **Step 189 – Preparation:** impute missing values using ra... | stop | 5,961 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze immune repertoire diversity in autoimmune clinical condition
- **Step 47.18 – Core Process:** perform cross ‑ validation across five units folds and record per ‑ fold metrics
- **Approach:** employing a spectral method for PDEs on irr... | stop | 5,994 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** forecast molecular properties with graph neural networks
- **Step 2× – Core Process:** implement a baseline model in PyTorch and train it for fifty epochs with early stopping
- **Step 871 – Preparation:** filter out noisy examples using an au... | stop | 6,659 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model climate system dynamics using deep learning
- **Step thrice – Optimization:** use a cyclic learning rate with triangular policy and period of ten units epochs
- **Step 2 – Core Process:** use a self-consistency decoding strategy with... | stop | 4,725 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict antibiotic resistance from gene‑related sequences
- **Step 247× – Optimization:** employ a learning rate schedule with 100-step warmup and then cosine decay
- **Step 19.11 – Evaluation:** evaluate using a hold ‑ out set of one thousan... | stop | 4,887 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model protein folding using diffusion models
- **Constraint:** with only 200 annotated cases and a class imbalance of 579 : 78.21
- **Approach:** via a multiple instance learning framework for pathology
- **Step a trio of – Optimization:**... | stop | 5,612 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict antibiotic resistance from genomic sequences
- **Step 277 – Preparation:** detrend signals using a moving average filter with 496-point window
- **Step 69.43 – Core Process:** train using a Cox proportional hazards model with elast... | stop | 5,468 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** study phase transitions in quantum spin systems
- **Constraint:** under a real ‑ time constraint of five tens ms end-to-end delay (50 ms)
- **Step Ⅲ – Optimization:** during training , reduce the learning rate on plateau by a factor of 55.79
... | stop | 5,717 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** segment retinal blood vessels for diabetic retinopathy screening
- **Step triple – Optimization:** apply parameter averaging over the last ten units epochs of training
- **Step 997 – Preparation:** convert DICOM images to Hounsfield units ... | stop | 6,291 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop an automated theorem prover for undergraduate geometric science
- **Step 79.02 – Core Process:** use a Hamiltonian Monte Carlo with 213 leapfrog steps and one percent integration time
- **Constraint:** under a strict lag budget of 10×... | stop | 5,770 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Step 4 – Evaluation:** measure sensitivity , specificity , and negative predictive value at 423 % confidence intervals
- **Constraint:** on a split system with Byzantine fa... | stop | 6,582 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop an automated theorem prover for undergraduate mathematical discipline
- **Approach:** employing a spectral method for PDEs on irregular domains
- **Constraint:** with only 482 annotated cases and a class imbalance of 1 : one hundred
... | stop | 5,834 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create a self-supervised speech representation model for low-resource languages
- **Step Ⅲ – Optimization:** apply parameter averaging over the last decade epochs of training
- **Approach:** employing a causally-constrained forest for heterog... | stop | 6,222 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize chemotherapy regimens using reinforcement learning
- **Step Ⅲ – Optimization:** implement a second-order optimizer with Gauss-Newton approximation
- **Approach:** using a Siamese network for patient similarity learning
- **Con... | stop | 5,957 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a pharmacokinetic model for personalized dosing
- **Step Ⅳ – Evaluation:** deploy the model in a simulated environment and track inference deferral versus accuracy
- **Approach:** via reinforcement learning from human feedback
... | stop | 7,224 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model human decision-making in strategic games using bounded rationality
- **Step a trio of – Optimization:** perform knowledge distillation from a larger teacher model with temperature 13.05
- **Constraint:** on a partitioned system with ... | stop | 6,119 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** segment retinal blood vessels for diabetic retinopathy screening
- **Approach:** via a graph neural network with relational attention
- **Step 858× – Evaluation:** compare against trinity strong baselines using a corresponding t ‑ test
- *... | stop | 6,699 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a control system for autonomous vehicles under uncertainty
- **Step three – Optimization:** apply batch renormalization with r_max = thrice and d_max = pentad
- **Step Ⅱ – Core Process:** perform bootstrapping with 1000 replicates t... | stop | 6,754 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create a self-supervised speech representation model for low-resource languages
- **Step 920× – Optimization:** use a cyclic learning rate with triangular policy and period of the number 363 epochs
- **Step four – Evaluation:** compute the Ma... | stop | 5,763 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a low-complexity semantic division model for drones
- **Constraint:** under a strict wait time budget of decade ms per inference
- **Step quadruple – Evaluation:** perform a decision curve analysis to assess medical utility
- *... | stop | 5,745 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a parallel consensus protocol for blockchain
- **Step 549× – Evaluation:** evaluate using the area under the precision-recall curve due to class imbalance
- **Step Ⅱ – Core Process:** train using a Cox proportional hazards model wi... | stop | 5,857 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** study phase transitions in quantum spin systems
- **Step tetrad – Evaluation:** analyze performance on ten units different answer choice distributions
- **Approach:** via a multiple instance learning framework for pathology
- **Step double... | stop | 6,385 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model protein folding using diffusion models
- **Step 854× – Evaluation:** measure F1 score, precision, recall, and AUC on the held-out test set
- **Approach:** using a generative countervailing network with gradient penalty
- **Step 704 –... | stop | 5,348 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze medical patient readmission risk using time‑stamped EHR data
- **Approach:** using a capsule network with dynamic routing by agreement
- **Step tetrad – Evaluation:** evaluate using macro ‑ averaged accuracy across 214 subject cate... | stop | 6,214 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with pathology using GWAS
- **Approach:** with a Monte Carlo tree search for planning under uncertainty
- **Step four – Evaluation:** measure the Kullback-Leibler divergence between predicted and observe... | stop | 6,157 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize electricity market bidding strategies with RL
- **Step 88.23 – Evaluation:** compute the mean squared error ( MSE ) and root mean squared error ( RMSE )
- **Step 810 – Preparation:** filter out noisy examples using an automated heuri... | stop | 5,531 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize chemotherapy regimens using reinforcement learning
- **Approach:** via a phylogenetic tree reconstruction algorithm
- **Step quartet – Evaluation:** measure F1 score , precision , recall , and AUC on the held ‑ out test set
- ... | stop | 6,864 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize electricity market bidding strategies with RL
- **Constraint:** using only publicly available, non-copyrighted data
- **Step three – Optimization:** apply prompt ensembling with five units different prompt templates
- **Step quart... | stop | 5,220 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** forecast molecular properties with graph neural networks
- **Step tetrad – Evaluation:** calculate the Bayesian information criterion ( BIC ) for model comparison
- **Step 1 – Preparation:** normalize spectra to unit area and apply logarit... | stop | 6,052 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize electricity market bidding strategies with RL
- **Constraint:** with a maximum inference time of five centuries ms in emergency settings
- **Step 328 – Preparation:** register 3D point clouds using sequential closest point algorithm
... | stop | 5,389 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a control system for autonomous vehicles under uncertainty
- **Step Ⅱ – Core Process:** train a polygenic risk score using L2-regularized logistic regression with cross-validation
- **Constraint:** on a low-power embedded system with 1... | stop | 5,101 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop an automated theorem prover for undergraduate quantitative science
- **Approach:** by applying opposing learning with data augmentation
- **Step 270 – Preparation:** convert all questions to a unified format with 917 answer choices ea... | stop | 5,172 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a robust physics-informed neural network for PDEs
- **Approach:** via a graph neural network with relational attention
- **Constraint:** with a minimum performance guarantee of 80 % accuracy on worst ‑ case inputs
- **Step quadrupl... | stop | 6,461 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze medical subject trajectories using temporal point processes
- **Step 932× – Optimization:** apply early stopping using log-rank test on validation survival curves
- **Step 741 – Preparation:** align multi-modal observational data f... | stop | 6,034 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with syndrome using GWAS
- **Steps:**
- Step thrice – Optimization: use a trust-region optimization with dogleg step computation
- Step 475 – Preparation: apply wavelet denoising to remove high-frequ... | stop | 6,473 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict solar flare activity from magnetogram data
- **Step 443 – Preparation:** detrend signals using a moving average filter with 366-point window
- **Constraint:** using only retrospective data with significant missing values
- **Step t... | stop | 6,352 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize healthcare‑oriented trial design with Bayesian adaptive methods
- **Approach:** using a random Fourier feature expansion for kernel methods
- **Step 246× – Optimization:** use a trust-region optimization with dogleg step computati... | stop | 5,330 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict solar flare activity from magnetogram data
- **Approach:** using a multi-task learning framework with auxiliary losses
- **Step 1 – Preparation:** normalize spectra to unit area and apply logarithmic binning
- **Step twice – Co... | stop | 5,929 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict solar flare activity from magnetogram data
- **Step a pair – Core Process:** use a meta ‑ learning loop with tenfold inner gradient steps and ten centuries outer tasks
- **Step foursome – Evaluation:** evaluate using the area under th... | stop | 5,177 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze single-cell RNA sequencing data with flexible autoencoders
- **Step 881 – Preparation:** detrend signals using a moving average filter with 858-point window
- **Step Ⅲ – Optimization:** use curriculum learning by progressively incr... | stop | 5,681 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze health seeker trajectories using temporal point processes
- **Approach:** employing a discriminative learning paradigm for single-cell data
- **Step 842 – Core Process:** train a polygenic risk score using L2-regularized logistic regr... | stop | 7,778 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze healthcare recipient readmission risk using temporal‑sequential EHR data
- **Approach:** using a transformer with time‑ordered attention for EHR data
- **Step two – Core Process:** perform cross ‑ validation across fivefold folds a... | stop | 6,054 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a diagnostic model for early Alzheimer's detection
- **Step triple – Optimization:** use a cyclic learning rate with triangular policy and period of ten units epochs
- **Step a pair – Core Process:** implement an attention-based mu... | stop | 5,589 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step 690 – Preparation:** segment cell nuclei using a pre-trained U-Net with 781 % confidence threshold
- **Step Ⅲ – Optimization:** apply gradient clipping and weight decay with a cycli... | stop | 5,154 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze historical text corpora using topic models
- **Constraint:** with only the number 139 answer choices and no single correct answer guaranteed
- **Step a trio of – Optimization:** use inverse probability of treatment weighting to adjust... | stop | 5,070 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a streamlined semantic sectioning model for drones
- **Step 556 – Optimization:** employ a mixed precision training strategy to reduce memory by 501× %
- **Step foursome – Evaluation:** evaluate using macro ‑ averaged accuracy across ... | stop | 5,437 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict drug-drug interactions from molecular structure
- **Approach:** by applying discriminative learning with data augmentation
- **Step three units – Optimization:** apply mixup augmentation with alpha = 64.24 and randomly mixed pairs
... | stop | 5,792 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a pharmacokinetic model for personalized dosing
- **Step 591 – Preparation:** perform dimensional reduction using principal component analysis with 539 % variance explained
- **Step triple – Optimization:** use a scheduled sampling... | stop | 6,008 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a differentiating model for early Alzheimer's detection
- **Constraint:** while maintaining decipherability for regulatory compliance
- **Approach:** employing a spectral method for PDEs on irregular domains
- **Step Ⅳ – Evalua... | stop | 6,466 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze high-frequency trading patterns using statistical arbitrage
- **Step four units – Evaluation:** compute the receiver operating characteristic curve and area under the curve ( AUC )
- **Approach:** employing a spectral method for PD... | stop | 7,505 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** segment brain tumors in MRI using attention mechanisms
- **Approach:** using a deep generative model for synthetic control arms
- **Step 1 – Preparation:** harmonize across 110 different subject domains using domain adaptation techniques
... | stop | 6,645 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a nonlinear control strategy for robotic manipulation
- **Step three units – Optimization:** use a line search with strong Wolfe conditions for step size
- **Approach:** employing a neural-symbolic integration framework
- **Step th... | stop | 6,001 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step 604 – Preparation:** convert genetic sequences to one-hot encoding with batch-wise normalization
- **Step three units – Optimization:** perform Bayesian model averaging across three di... | stop | 5,968 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Approach:** using a random Fourier feature expansion for kernel methods
- **Step 1 – Preparation:** convert all questions to a unified format with ten units answer choices each
- **St... | stop | 5,923 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze sleep EEG patterns for seizure prediction
- **Approach:** via a convex optimization approach with ADMM
- **Step 670 – Optimization:** use uncertainty-aware training with Monte Carlo dropout and Ⅹ forward passes
- **Constraint:** wi... | stop | 7,186 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a control system for autonomous vehicles under uncertainty
- **Step 645 – Core Process:** perform a propensity score matching with 1 : two units ratio and caliper tenth
- **Step a trio of – Optimization:** use uncertainty-aware trainin... | stop | 5,569 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create a self-supervised speech representation model for low-resource languages
- **Constraint:** using only anonymized hospital-based data with differential privacy
- **Step thrice – Optimization:** smooth the labels with a temperature pa... | stop | 5,740 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** detect gravitational wave signals with machine learning
- **Step two units – Core Process:** train using a Cox proportional hazards model with elastic net penalty
- **Step 854× – Evaluation:** measure F2 score ( beta = the number 673 ) to ... | stop | 7,659 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze sleep EEG patterns for seizure prediction
- **Step four units – Evaluation:** compute the mean squared error ( MSE ) and root mean squared error ( RMSE )
- **Constraint:** with only 67.69 % of data labeled and a strict annotation budg... | stop | 6,160 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze single-cell RNA sequencing data with adaptive autoencoders
- **Constraint:** with only 317 annotated cases and a class imbalance of 1 : 6.65
- **Step triple – Optimization:** use a cyclic learning rate with triangular policy and pe... | stop | 6,389 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step a trio of – Optimization:** use the three-sigma rule for automatic outlier removal at each training epoch
- **Constraint:** while maintaining a carbon footprint below 10 kg CO2 equi... | stop | 5,643 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a light semantic image segmentation model for drones
- **Constraint:** with only one thousand annotated examples from each of ten units languages
- **Approach:** using a capsule network with dynamic routing by agreement
- **Step 10... | stop | 5,524 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze participant trajectories using temporal point processes
- **Step 2.0 – Core Process:** train using a federated averaging algorithm with 298^2 clients and the number 3 local epochs
- **Step Ⅲ – Optimization:** apply gradient clipping a... | stop | 6,201 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze historical text corpora using topic models
- **Constraint:** using only synthetic data generated from a known distribution
- **Step 412 – Optimization:** apply prompt ensembling with a handful of different prompt templates
- **... | stop | 6,623 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model climate system dynamics using deep learning
- **Constraint:** using only anonymized medical data with differential privacy
- **Step quartet – Evaluation:** evaluate using leave ‑ one ‑ out cross ‑ validation with ten centuries iteration... | stop | 7,052 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Constraint:** with a maximum training time of 6 hours on a single GPU
- **Step 153 – Preparation:** perform dimensional reduction using principal component analysis with 95 % variance ex... | stop | 6,702 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict drug-drug interactions from molecular structure
- **Step 2 – Core Process:** perform a genome-wide association study with 614 , 000 , 452 variants and Bonferroni correction
- **Step 3 – Optimization:** use a trust-region optimizati... | stop | 5,021 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze clinical subject readmission risk using temporal‑tracking EHR data
- **Step two – Core Process:** implement chain-of-thought reasoning with 19 sampled paths per question
- **Step 1 – Preparation:** harmonize across 709 different su... | stop | 5,791 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze economic mobility using causal‑predictive inference methods
- **Approach:** via a phylogenetic tree reconstruction algorithm
- **Step thrice – Optimization:** use a trust-region optimization with dogleg step computation
- **Con... | stop | 6,444 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze genetic variants associated with illness using GWAS
- **Step 1 – Preparation:** create a stratified split that preserves subject category proportions
- **Constraint:** on an edge device with only 84× MB of RAM
- **Step foursome – E... | stop | 6,082 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** create an ethical reasoning framework for AI agents
- **Constraint:** on a federated network of the number 100 hospitals with non-IID data
- **Step 1 – Preparation:** downsample time series using a Chebyshev filter to prevent aliasing
- **... | stop | 5,474 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize electricity market bidding strategies with RL
- **Step 721 – Preparation:** standardize patient‑facing measurements using z-scores and Winsorize outliers at the 1st and 99th percentiles
- **Step Ⅲ – Optimization:** employ a mixed ... | stop | 5,169 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** design a robust MIMO communication system for 6G
- **Step 419 (Core Process):** train using expectation-maximization for latent variable models
- **Step four (Evaluation):** evaluate using a hold-out set of 649 expert-validated questions
... | stop | 5,496 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** develop a federated learning system for multi-hospital cohorts
- **Approach:** via a survival analysis model with time-varying covariates
- **Step 985× – Optimization:** smooth the labels with a temperature parameter of 5.48
- **Step a pai... | stop | 5,418 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze sleep EEG patterns for seizure prediction
- **Step 672× – Optimization:** use label smoothing with epsilon = 45.93× and temperature scaling for calibration
- **Constraint:** using only anonymized healthcare‑oriented data with differen... | stop | 7,521 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** model human decision-making in strategic games using bounded rationality
- **Step quartet – Evaluation:** measure the model ' s robustness to 23 different prompt variations
- **Step 813 – Core Process:** implement an adaptive Metropolis-Hasti... | stop | 6,305 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze sleep EEG patterns for seizure prediction
- **Constraint:** under a strict hold budget of ten units ms per inference
- **Step triple – Optimization:** add dropout and chance-based depth at increasing rates per layer
- **Step Ⅱ – Co... | stop | 7,881 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** segment brain tumors in MRI using attention mechanisms
- **Step 384 – Preparation:** align multi-modal observational data from a trio of independent surveys
- **Step threefold – Optimization:** smooth the labels with a temperature parameter o... | stop | 7,126 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize electricity market bidding strategies with RL
- **Approach:** using a generative hostile network with gradient penalty
- **Constraint:** under a memory constraint of 2.12 MB for all model parameters
- **Step triple – Optimization:... | stop | 5,515 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** analyze clinical subject trajectories using temporal point processes
- **Approach:** employing a neural-symbolic integration framework
- **Step 564 – Core Process:** implement a recurrent neural network with five hundred twelve hidden units a... | stop | 6,667 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** optimize electricity market bidding strategies with RL
- **Step 17.62 – Optimization:** smooth the labels with a temperature parameter of 19.64
- **Step 510 – Evaluation:** evaluate on a held ‑ out test set stratified by malady severity and a... | stop | 5,618 |
<|im_start>system
You are an helpful expert research plan editor.
<|im_end|>
<|im_start|>user
You are a research plan editor. Each plan has a goal and steps containing **formatting noise** (garbled numbers, symbol artifacts, garbled step labels) and **semantic noise** (domain-mismatched content, implausible parameters,... |
Here's a thinking process:
1. **Analyze User Input:**
- **Goal:** predict antibiotic resistance from hereditary sequences
- **Step 3 (Optimization):** use curriculum learning by progressively increasing question difficulty
- **Step 568× (Core Process):** implement an attention-based multiple instance lea... | stop | 5,232 |
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