AI RESEARCH
AdaptFuse: Training-Free Sequential Preference Learning via Externalized Bayesian Inference
arXiv CS.AI
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ArXi:2604.03925v1 Announce Type: cross Large language models struggle to accumulate evidence across multiple rounds of user interaction, failing to update their beliefs in a manner consistent with Bayesian inference. Existing solutions require fine-tuning on sensitive user interaction data, limiting their applicability in privacy-conscious settings. We propose AdaptFuse, a