2 papers
cs.CL2026
Beyond Continuity: Challenges of Context Switching in Multi-Turn Dialogue with LLMs
Aditya Sinha, Harald Steck, Vito Ostuni +1
Users interacting with Large Language Models (LLMs) in a multi-turn conversation routinely refine their requests or pivot to new topics. LLMs, however, often miss these topic shift…
cs.IR2026
Rank-GRPO: Training LLM-based Conversational Recommender Systems with Reinforcement Learning
Yaochen Zhu, Harald Steck, Dawen Liang +4
Large language models (LLMs) are reshaping the recommender system paradigm by enabling users to express preferences and receive recommendations through conversations. Yet, aligning…