Enhancing User Intent for Recommendation Systems via Large Language Models — mentioned by svnt

Tue, 05 May 2026 18:03:59 GMT

Look at any recent CoT output where the model is trying to infer from an underspecified prompt what the user wants or means. It is generally the first thing they do — try to figure out what did you mean with this prompt. When they can’t infer your intent, good models ask follow-on questions to clarify. I am wondering if this is a semantics issue as this is an established are of research, eg https://arxiv.org/pdf/2501.10871

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Enhancing User Intent for Recommendation Systems via Large Language Models · HackerPapers discussions

Enhancing User Intent for Recommendation Systems via Large Language Models — mentioned by svnt