3 papers
cs.AI2026
SAGE: A Service Agent Graph-guided Evaluation Benchmark
Ling Shi, Yuqin Dai, Ziyin Wang +7
The development of Large Language Models (LLMs) has catalyzed automation in customer service, yet benchmarking their performance remains challenging. Existing benchmarks predominan…
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…