2 papers
cs.IR2026
Evidence-in-the-Loop: Trace-Driven Optimization for Customer-Service LLM Agents
Chunming Wu, Dafei Qiu, Congde Yuan +7
Production customer-service bots must improve answer quality across iterative releases, yet large language models must not bypass evidence boundaries, policy rules, or human-handof…
cs.DC2025
Maple: A Multi-agent System for Portable Deep Learning across Clusters
Molang Wu, Zhao Zhang
Training deep learning (DL) models across Graphics Processing Unit (GPU) clusters is technically challenging. One aspect is that users have to compose command lines to adapt to the…