3 papers
cs.CL2026
SOAR: Source-Aware Reinforcement Learning with Precise Credit Assignment for Search Agents
Shengze Huang, Zihao Tang, Jinluan Yang +11
Reinforcement learning (RL) for search agents often suffers from evidence fabrication, a failure mode where agents bypass external information () and fabricate an incorrec…
cs.LG2026
Group-Graph Policy Optimization for Long-Horizon Agentic Reinforcement Learning
Yunan Wang, Minghui Song, Zihan Zhang +6
Group-based Reinforcement Learning (RL) has significantly enhanced Large Language Models (LLMs) in agentic scenarios. To achieve finer-grained policy updates, recent agentic RL fra…
cs.IR2024
Unleash LLMs Potential for Sequential Recommendation by Coordinating Dual Dynamic Index Mechanism
Jun Yin, Zhengxin Zeng, Mingzheng Li +13
Owing to the unprecedented capability in semantic understanding and logical reasoning, large language models (LLMs) have shown fantastic potential in developing next-generation seq…