AI RESEARCH
Recon: Reconstruction-Guided Reasoning Synthesis for User Modeling
arXiv CS.AI
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ArXi:2605.26969v1 Announce Type: cross User modeling aims to use language models (LMs) to mimic an individual's behavior from a corpus of past context-action pairs (e.g., conversation turns), enabling the simulation of users in settings like behavioral science, human-AI collaboration, and market research. Recent approaches augment these corpora with synthesized reasoning traces, typically generated by conditioning on both context and action.