Retrieval, scoring, and decoding shape performance and stability in LLM-based conversational recommendation
Read the original at arxiv.org→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...
Original headline: "Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation"
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- Sep 2, 04:00 UTC arXiv cs.CL lead source Retrieval, Scoring, and Decoding Shape Performance and Stability in LLM-based Conversational Recommendation