Author

Zeyu He

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#artificial intelligence Preprint Sep 2026

Experts Rise Where LLMs Disagree: Using Cross-Model Disagreement to Target Expert Effort in LLM Codebook Revision for Large-Scale Annotation

Large-scale text annotation brings expert insight to millions of documents, often through a codebook that AI annotators follow. Developing a robust codebook, however, takes months. Large language models (LLMs) could speed this process by applying an early codebook to the data, surfacing cases with strong LLM disagreeme...

Ze-Yu He, Zhu-Qian Zhou, Kirk P. Vanacore et al. · 0 citations

Jul 2026

PERSONAJUDGE: Simulating Individual Human Preference Judgments with Evaluator-Specific Demonstration Data

A novel simulation approach that combines categorical judgments with evaluator-specific auxiliary data--retrospective reasoning traces and interface telemetry--to enable LLM-based simulation of individual evaluators via in-context learning is proposed.

Zeyu He, Xuan Qi, Subramanian Chidambaram et al. · SIGDIAL Conferences · 0 citations