Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation
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arXiv:2609.00086v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used as rerankers in conversational recommender systems, yet measured gains depend strongly on the retrieval and inference protocol. On the ReDial conversational movie recommendation benchmark, we compare…
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- 2026-09-02 04:00 · arXiv cs.CL
Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation
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