most citedProgress Reward Model for Reinforcement Learning via Large Language Models

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cs.CL2026

Reinforcing Real-world Service Agents: Balancing Utility and Cost in Task-oriented Dialogue

Ning Gao, Wei Zhang, Yuqin Dai +6

The rapid evolution of Large Language Models (LLMs) has accelerated the transition from conversational chatbots to general agents. However, effectively balancing empathetic communi…

cs.CL2026

SEAD: Self-Evolving Agent for Multi-Turn Service Dialogue

Yuqin Dai, Ning Gao, Wei Zhang +6

Large Language Models have demonstrated remarkable capabilities in open-domain dialogues. However, current methods exhibit suboptimal performance in service dialogues, as they rely…