3 papers
cs.CL2026
Improving Multi-turn Dialogue Consistency with Self-Recall Thinking
Renning Pang, Tian Lan, Leyuan Liu +3
Large language model (LLM) based multi-turn dialogue systems often struggle to track dependencies across non-adjacent turns, undermining both consistency and scalability. As conver…
cs.AI2026
Case-Based Calibration of Adaptive Reasoning and Execution for LLM Tool Use
Renning Pang, Tian Lan, Leyuan Liu +3
Tool use extends large language models beyond parametric knowledge, but reliable execution requires balancing appropriate reasoning depth with strict structural validity. We approa…
cs.CL2025
More diverse more adaptive: Comprehensive Multi-task Learning for Improved LLM Domain Adaptation in E-commerce
Tong Piao, Pei Tang, Zhipeng Zhang +3
In recent years, Large Language Models (LLMs) have been widely applied across various domains due to their powerful domain adaptation capabilities. Previous studies have suggested…