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Early Prediction of Future Behavioral Strategy from Process Traces

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arXiv:2605. 30550v1 Announce Type: new Abstract: Adaptive systems often need to make task-specific decisions about people from limited evidence: a tutor may need to anticipate how a learner will approach a new problem, a game may need to adapt when a player enters a new level, and a human-AI system may need to infer whether a partner will persist with a plan or switch goals.

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Authors: Robert Kasumba, Dennis Barbour, Chien-Ju Ho
Released: 2026-06-01 (1mo ago)
Topic: Related to current project
Relation to my work: Read next because Early Prediction of Future Behavioral Strategy from Process Traces 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: code, source, rate, control, another, completion, model. Source: arxiv cs.LG (Machine Learning).
arXiv: 2605.30550

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