2 papers
cs.AI2026
IB-RL: Isolated Bilateral Reinforcement Learning for Strategic Dialogue Agents
Senhao Wang, Chenghao Cai, Haitao Hu +4
Reinforcement learning (RL) has achieved strong results in improving large language models (LLMs) on tasks with stationary, verifiable rewards, such as mathematical reasoning and c…
cs.CL2024
Enhancing Dialogue State Tracking Models through LLM-backed User-Agents Simulation
Cheng Niu, Xingguang Wang, Xuxin Cheng +2
Dialogue State Tracking (DST) is designed to monitor the evolving dialogue state in the conversations and plays a pivotal role in developing task-oriented dialogue systems. However…