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Vito Claudio Ostuni

1 accepted papers

2026

ConvRec-R1: Training LLM-based Conversational Recommender Systems with Reinforcement Learning

ICLR 2026poster

Large language models (LLMs) are reshaping the recommender system paradigm by enabling users to express preferences and receive recommendations through conversations. Yet, aligning LLMs to the recommendation task remains challenging: pretrained LLMs often generate out-of-catalog items, violate requi…

Cited by 0SourcecodeScholar