Glyph: Scaling Context Windows via Visual-Text Compression Paper • 2510.17800 • Published 5 days ago • 55
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Paper • 2510.08189 • Published 16 days ago • 25
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models Paper • 2510.05034 • Published 19 days ago • 45
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones Paper • 2509.25123 • Published 26 days ago • 18
SWE-Bench Pro: Can AI Agents Solve Long-Horizon Software Engineering Tasks? Paper • 2509.16941 • Published Sep 21 • 20
FutureX: An Advanced Live Benchmark for LLM Agents in Future Prediction Paper • 2508.11987 • Published Aug 16 • 69
Reasoning over Boundaries: Enhancing Specification Alignment via Test-time Delibration Paper • 2509.14760 • Published Sep 18 • 52
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation Paper • 2509.15194 • Published Sep 18 • 33
SimpleVLA-RL: Scaling VLA Training via Reinforcement Learning Paper • 2509.09674 • Published Sep 11 • 78
A Survey of Reinforcement Learning for Large Reasoning Models Paper • 2509.08827 • Published Sep 10 • 183
WebExplorer: Explore and Evolve for Training Long-Horizon Web Agents Paper • 2509.06501 • Published Sep 8 • 78
Parallel-R1: Towards Parallel Thinking via Reinforcement Learning Paper • 2509.07980 • Published Sep 9 • 98
HiPhO: How Far Are (M)LLMs from Humans in the Latest High School Physics Olympiad Benchmark? Paper • 2509.07894 • Published Sep 9 • 32
Towards a Unified View of Large Language Model Post-Training Paper • 2509.04419 • Published Sep 4 • 73