31 citations · 50 across the 51 of their papers we have counts for
5 papers · 2 filters
LightSearcher: Efficient DeepSearch via Experiential Memory
Hengzhi Lan, Yue Yu, Li Qian +5
DeepSearch paradigms have become a core enabler for deep reasoning models, allowing them to invoke external search tools to access up-to-date, domain-specific knowledge beyond para…
STEP: Success-Rate-Aware Trajectory-Efficient Policy Optimization
Yuhan Chen, Yuxuan Liu, Long Zhang +3
Multi-turn interaction remains challenging for online reinforcement learning. A common solution is trajectory-level optimization, which treats each trajectory as a single training…
ICPO: Intrinsic Confidence-Driven Group Relative Preference Optimization for Efficient Reinforcement Learning
Jinpeng Wang, Chao Li, Ting Ye +3
Reinforcement Learning with Verifiable Rewards (RLVR) demonstrates significant potential in enhancing the reasoning capabilities of Large Language Models (LLMs). However, existing…
GUI-PRA: Process Reward Agent for GUI Tasks
Tao Xiong, Xavier Hu, Yurun Chen +6
Long-horizon GUI automation remains challenging due to error accumulation over extended interaction sequences. Process Reward Models (PRMs) provide dense step-level supervision for…
GUI-Shift: Enhancing VLM-Based GUI Agents through Self-supervised Reinforcement Learning
Longxi Gao, Li Zhang, Pengzhi Gao +3
Training effective Vision-Language Models (VLMs) for GUI agents typically depends on large-scale annotated datasets, whose collection is both labor-intensive and error-prone. We in…