most citedPass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

Beyond the Last Frame: Process-aware Evaluation for Generative Video Reasoning

Yifan Li, Yukai Gu, Yingqian Min +6

Recent breakthroughs in video generation have demonstrated an emerging capability termed Chain-of-Frames (CoF) reasoning, where models resolve complex tasks through the generation…

cs.CV2025

Revisiting the Necessity of Lengthy Chain-of-Thought in Vision-centric Reasoning Generalization

Yifan Du, Kun Zhou, Yingqian Min +3

We study how different Chain-of-Thought (CoT) designs affect the acquisition of the generalizable visual reasoning ability in vision-language models (VLMs). While CoT data, especia…

cs.CV2025

Unleashing Perception-Time Scaling to Multimodal Reasoning Models

Yifan Li, Zhenghao Chen, Ziheng Wu +7

Recent advances in inference-time scaling, particularly those leveraging reinforcement learning with verifiable rewards, have substantially enhanced the reasoning capabilities of L…

cs.AI2025

UI-TARS-2 Technical Report: Advancing GUI Agent with Multi-Turn Reinforcement Learning

Haoming Wang, Haoyang Zou, Huatong Song +109

The development of autonomous agents for graphical user interfaces (GUIs) presents major challenges in artificial intelligence. While recent advances in native agent models have sh…

cs.LG20251 cited

Pass@k Training for Adaptively Balancing Exploration and Exploitation of Large Reasoning Models

Zhipeng Chen, Xiaobo Qin, Youbin Wu +4

Reinforcement learning with verifiable rewards (RLVR), which typically adopts Pass@1 as the reward, has faced the issues in balancing exploration and exploitation, causing policies…