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UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind

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arXiv:2605. 27721v1 Announce Type: new Abstract: Understanding what a user believes and intends is central to building effective agent assistants.

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Authors: Cheng Qian, Jiayu Liu, Heng Ji
Released: 2026-05-29 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because UserHarness: Harnessing User Minds for Stronger Agent Theory-of-Mind overlaps with clean result "LoRA persona trained on <A> alone emits <B> at 23.5% when a co-trained partner learns <A>...<B>, vs 0% control on Qwen2.5-7B-Instruct (MODERATE confidence)", clean result "Leakage rate is a usable signal for recovering trigger-shaped phrases on Gaperon-1125-1B without knowing the hidden trigger itself (MODERATE confidence)", clean result "Language-mismatch LoRA SFT on Qwen2.5-7B leaks the trained completion language into bystander directives the model was never trained on, absent under same-language SFT (LOW confidence)". Matching terms: strong, rect, under, eval, assistant, line, without, does. Source: arxiv cs.CL (NLP).
arXiv: 2605.27721

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