3 papers
cs.AI2026
Do Agents Think Deeper? A Mechanistic Investigation of Layer-Wise Dynamics in Sequential Planning
Zhenyu Cui, Xiangzhong Luo
Recent mechanistic studies suggest that large language models (LLMs) may utilize their depth inefficiently in standard single-turn tasks. Whether this still holds in autonomous age…
cs.CL2024
Zero-Shot Cross-Domain Dialogue State Tracking via Dual Low-Rank Adaptation
Xiang Luo, Zhiwen Tang, Jin Wang +1
Zero-shot dialogue state tracking (DST) seeks to enable dialogue systems to transition to unfamiliar domains without manual annotation or extensive retraining. Prior research has a…
cs.CL2024
DuetSim: Building User Simulator with Dual Large Language Models for Task-Oriented Dialogues
Xiang Luo, Zhiwen Tang, Jin Wang +1
User Simulators play a pivotal role in training and evaluating task-oriented dialogue systems. Traditional user simulators typically rely on human-engineered agendas, resulting in…