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cs.CL2026
Grounded Normative Rule Generation with Structured Search
Fanqi Kong, Huaxiao Yin, Ruijie Zhang +5
Normative rules like institutional charters and workplace policies must be both human-readable and operationally verifiable against actual environment records. However, current lan…
cs.CL2025
MemOrb: A Plug-and-Play Verbal-Reinforcement Memory Layer for E-Commerce Customer Service
Yizhe Huang, Yang Liu, Ruiyu Zhao +3
Large Language Model-based agents(LLM-based agents) are increasingly deployed in customer service, yet they often forget across sessions, repeat errors, and lack mechanisms for con…
cs.CL2025
ECom-Bench: Can LLM Agent Resolve Real-World E-commerce Customer Support Issues?
Haoxin Wang, Xianhan Peng, Xucheng Huang +5
In this paper, we introduce ECom-Bench, the first benchmark framework for evaluating LLM agent with multimodal capabilities in the e-commerce customer support domain. ECom-Bench fe…