Meng Ge

TUT4CRS: Time-aware User-preference Tracking for Conversational Recommendation System

2024

The Conversational Recommendation System (CRS) aims to capture user dynamic preferences and provide item recommendations based on multi-turn conversations. However, effectively modeling these dynamic preferences faces challenges due to conversational limitations, which mainly manifests as …

Process-Supervised Reinforcement Learning for Interactive Multimodal Tool-Use Agents

2025 · arXiv (Cornell University)

Effective interactive tool use requires agents to master Tool Integrated Reasoning (TIR): a complex process involving multi-turn planning and long-context dialogue management. To train agents for this dynamic process, particularly in multi-modal contexts, we introduce …