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Author

Kai Du

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Preprint Aug 2026

Principal Trait Analysis: Towards Deriving"Skills"in Human-AI Collaboration

An automated, data-driven approach to uncover patterns, which the authors term traits, of effective human-AI interaction that are aligned with task outcomes is explored and Principal Trait Analysis is proposed, a Principal Component Analysis-inspired algorithm for deriving common traits from patterns in LLM conversations.

Hunter McNichols, Kai Du, Andrew Lan · 0 citations
Preprint Aug 2026

Do Personalized Skills Help Coding Agents? An Empirical Study of Developer Interaction Histories

This work proposes a framework for extracting reusable developer preferences from interaction traces, generates personalized skills through rule-based bootstrapping and evidence-grounded refinement, and evaluates them using a reproducible replay framework with an interactive, trajectory-conditioned LLM-based human developer simulator.

Shuyan Huang, Kai Du, Andrew Lan · 2 citations