Agentic Conversational Search with Contextualized Reasoning via Reinforcement Learning
Fengran Mo · Yifan Gao · Sha Li · Hansi Zeng · Xin Liu · Zhaoxuan Tan · Xian Li · Jianshu Chen · Dakuo Wang · Meng Jiang
摘要
Large Language Models (LLMs) have become a popular interface for human–AI interaction, supporting information seeking and task assistance through natural, multi-turn dialogue. To respond to users within multi-turn dialogues, the context-dependent user intent evolves across interactions, requiring...