MOSS-Speech: Towards True Speech-to-Speech Models Without Text Guidance Paper • 2510.00499 • Published 18 days ago • 18
R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth? Paper • 2510.08189 • Published 10 days ago • 23
ScaleCUA: Scaling Open-Source Computer Use Agents with Cross-Platform Data Paper • 2509.15221 • Published about 1 month ago • 107
Harnessing Uncertainty: Entropy-Modulated Policy Gradients for Long-Horizon LLM Agents Paper • 2509.09265 • Published Sep 11 • 45
CODA: Coordinating the Cerebrum and Cerebellum for a Dual-Brain Computer Use Agent with Decoupled Reinforcement Learning Paper • 2508.20096 • Published Aug 27 • 36
Reasoning or Memorization? Unreliable Results of Reinforcement Learning Due to Data Contamination Paper • 2507.10532 • Published Jul 14 • 88
Learn to Reason Efficiently with Adaptive Length-based Reward Shaping Paper • 2505.15612 • Published May 21 • 34
CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era Paper • 2503.12329 • Published Mar 16 • 26
S^2R: Teaching LLMs to Self-verify and Self-correct via Reinforcement Learning Paper • 2502.12853 • Published Feb 18 • 29
OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis Paper • 2412.19723 • Published Dec 27, 2024 • 87
A Controlled Study on Long Context Extension and Generalization in LLMs Paper • 2409.12181 • Published Sep 18, 2024 • 45