RExBench: Can coding agents autonomously implement AI research extensions? Paper • 2506.22598 • Published Jun 27 • 11
Geopolitical biases in LLMs: what are the "good" and the "bad" countries according to contemporary language models Paper • 2506.06751 • Published Jun 7 • 71
Can LLMs Generate Novel Research Ideas? A Large-Scale Human Study with 100+ NLP Researchers Paper • 2409.04109 • Published Sep 6, 2024 • 49
DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research Paper • 2505.19253 • Published May 25 • 29
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models Paper • 2505.22617 • Published May 28 • 127
NovelSeek: When Agent Becomes the Scientist -- Building Closed-Loop System from Hypothesis to Verification Paper • 2505.16938 • Published May 22 • 121
NaturalReasoning: Reasoning in the Wild with 2.8M Challenging Questions Paper • 2502.13124 • Published Feb 18 • 6
Qwen2.5 Collection Qwen2.5 language models, including pretrained and instruction-tuned models of 7 sizes, including 0.5B, 1.5B, 3B, 7B, 14B, 32B, and 72B. • 46 items • Updated 10 days ago • 629
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning? Paper • 2502.19361 • Published Feb 26 • 28
Byte Latent Transformer: Patches Scale Better Than Tokens Paper • 2412.09871 • Published Dec 13, 2024 • 107
BoostStep: Boosting mathematical capability of Large Language Models via improved single-step reasoning Paper • 2501.03226 • Published Jan 6 • 45
Towards Large Reasoning Models: A Survey of Reinforced Reasoning with Large Language Models Paper • 2501.09686 • Published Jan 16 • 41
Training Large Language Models to Reason in a Continuous Latent Space Paper • 2412.06769 • Published Dec 9, 2024 • 89