Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems
Paper
•
2407.01370
•
Published
•
89
[paper] LLM
-
-
MLGym: A New Framework and Benchmark for Advancing AI Research Agents
Paper • 2502.14499 • Published • 194 -
SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features
Paper • 2502.14786 • Published • 157 -
Logic-RL: Unleashing LLM Reasoning with Rule-Based Reinforcement Learning
Paper • 2502.14768 • Published • 47 -
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning
Paper • 2502.12853 • Published • 29 -
InterFeedback: Unveiling Interactive Intelligence of Large Multimodal Models via Human Feedback
Paper • 2502.15027 • Published • 7 -
Agentic Reward Modeling: Integrating Human Preferences with Verifiable Correctness Signals for Reliable Reward Systems
Paper • 2502.19328 • Published • 23 -
Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
Paper • 2502.19361 • Published • 28 -
Robot Learning: A Tutorial
Paper • 2510.12403 • Published • 121 -
Advances and Challenges in Foundation Agents: From Brain-Inspired Intelligence to Evolutionary, Collaborative, and Safe Systems
Paper • 2504.01990 • Published • 301 -
Leaderboard: Physical Reasoning from Video
🏃45Submit model evaluations and view leaderboard results