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yuanshengni 

authored 2 papers 16 days ago

SWE-QA-Pro: A Representative Benchmark and Scalable Training Recipe for Repository-Level Code Understanding

Paper • 2603.16124 • Published Mar 17 • 3

Towards Retrieving Interaction Spaces for Agentic Search

Paper • 2606.06880 • Published Jun 5 • 4

yuanshengni 

updated 2 datasets 16 days ago

MMMU/MMMU

Viewer • Updated 16 days ago • 11.6k • 55.7k • 331

MMMU/MMMU_Pro

Benchmark • Updated 16 days ago • 5.19k • 12.8k • 65

DongfuJiang 

authored 2 papers 21 days ago

Nemotron 3 Ultra: Open, Efficient Mixture-of-Experts Hybrid Mamba-Transformer Model for Agentic Reasoning

Paper • 2606.15007 • Published Jun 12 • 19

Dr-DCI: Scaling Direct Corpus Interaction via Dynamic Workspace Expansion

Paper • 2606.14885 • Published Jun 12 • 11

aaabiao 

authored 8 papers about 1 month ago

Aligning Instruction Tuning with Pre-training

Paper • 2501.09368 • Published Jan 16, 2025

YuE: Scaling Open Foundation Models for Long-Form Music Generation

Paper • 2503.08638 • Published Mar 11, 2025 • 73

IWR-Bench: Can LVLMs reconstruct interactive webpage from a user interaction video?

Paper • 2509.24709 • Published Sep 29, 2025 • 7

Beyond Correctness: Evaluating Subjective Writing Preferences Across Cultures

Paper • 2510.14616 • Published Oct 16, 2025 • 13

COIG-Writer: A High-Quality Dataset for Chinese Creative Writing with Thought Processes

Paper • 2510.14763 • Published Oct 16, 2025 • 14

Dynamic Large Concept Models: Latent Reasoning in an Adaptive Semantic Space

Paper • 2512.24617 • Published Dec 31, 2025 • 67

Search More, Think Less: Rethinking Long-Horizon Agentic Search for Efficiency and Generalization

Paper • 2602.22675 • Published Feb 26 • 23

LoopCoder-v2: Only Loop Once for Efficient Test-Time Computation Scaling

Paper • 2606.18023 • Published Jun 16 • 210

yuanshengni 

in MMMU/MMMU_Pro about 2 months ago

Update eval.yaml

👍 1

2

#7 opened about 2 months ago by

SaylorTwift

DongfuJiang 

authored 3 papers about 2 months ago

RewardHarness: Self-Evolving Agentic Post-Training

Paper • 2605.08703 • Published May 9 • 10

Cosmos 3: Omnimodal World Models for Physical AI

Paper • 2606.02800 • Published Jun 1 • 141

AutoLab: Can Frontier Models Solve Long-Horizon Auto Research and Engineering Tasks?

Paper • 2606.05080 • Published Jun 3 • 31

drogozhang 

authored a paper 2 months ago

QUEST: Training Frontier Deep Research Agents with Fully Synthetic Tasks

Paper • 2605.24218 • Published May 22 • 46

DongfuJiang 

authored a paper 2 months ago

Watch Before You Answer: Learning from Visually Grounded Post-Training

Paper • 2604.05117 • Published Apr 6 • 36