Author

Hui-Ze Feng

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#natural language process... Preprint Oct 2026

OmniConfess: Eliciting Token Confessions to Mitigate Omni-Modal Hallucination

OmniConfess is introduced, a training-free method for mitigating omni-modal hallucinations that fixes a candidate response and re-scores it at token resolution under controlled channel-wise evidence interventions, producing a structured token-by-channel confession that reveals the response's evidential dependence.

Hui-Qiang Rong, Hao-Ran Luo, Hui-Ze Feng et al. · 0 citations

#graph neural networks Open access Aug 2026

Truth inference for crowdsourcing via bias-variance fusion graph embedding

This article introduces two metrics—bias and variance—to quantify, respectively, the discrepancy between a worker’s labels and those of other workers on similar instances (bias), and the inconsistency in a worker’s own labels across different instances (variance).

Wei Zong, Hui-Ze Feng, Zong-Yao Nie · Knowledge and Information Sy... · 0 citations