Author

Xiang Zhang

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#artificial intelligence Preprint Oct 2026

When Judges Agree and Are Wrong: Consistency-Accuracy Dissociation as a Blind Spot for Label-Free Evaluation

Label-free evaluation methods, such as self-consistency filtering, majority-vote aggregation, and agreement-based reliability scoring, rely on an implicit assumption that consistency can serve as a proxy for correctness when ground-truth labels are unavailable or expensive to obtain. In this paper, we test this assumpt...

Xiang Zhang, Lovedeep Gondara, Jekaterina Novikova · 0 citations

#artificial intelligence Review Sep 2026

What Can a Leaderboard Certify? Compositional Controllability for Fair Evaluation and Training of Biomedical Literature-Review Agents

This work introduces compositional controllability to address compositional controllability in pipeline performance, and bounds the gap between observed and controlled score differences using only nuisance outside the window.

Zhao-Wei Han, Xiang Zhang, Lingxiao Guan et al. · 0 citations

#machine learning Preprint Aug 2026

KV-Skill: Forging Expertise in the Model's Native Language

KV-Skill is introduced, a design space of external factorized operators that a frozen language model reads through a lightweight interface that shows that task knowledge can be acquired from text or experience, compressed into an external operator, and deployed separately from the backbone.

Zhaowei Han, Xiang Zhang, Bing Han et al. · 1 citation