The End of Manual Decoding: Towards Truly End-to-End Language Models Paper • 2510.26697 • Published 4 days ago • 106
The Tool Decathlon: Benchmarking Language Agents for Diverse, Realistic, and Long-Horizon Task Execution Paper • 2510.25726 • Published 5 days ago • 42
Glyph: Scaling Context Windows via Visual-Text Compression Paper • 2510.17800 • Published 14 days ago • 64
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Paper • 2510.08189 • Published 25 days ago • 25
Video-LMM Post-Training: A Deep Dive into Video Reasoning with Large Multimodal Models Paper • 2510.05034 • Published 28 days ago • 46
From f(x) and g(x) to f(g(x)): LLMs Learn New Skills in RL by Composing Old Ones Paper • 2509.25123 • Published Sep 29 • 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 • 70
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 • 186
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 • 99