QunJie Chen — accepted AI-conference papers

2026

Mind the Gap: Catching Hallucinations via Evidence Drop on the Reasoning Manifold

QunJie Chen, Yufei Chen, Xiaodong Yue, Linye Li

ICML 2026poster

Large Language Models (LLMs) show strong reasoning abilities, yet their reliability is hindered by hallucinations, where fluent reasoning becomes factually or logically incorrect. Most existing uncertainty-based detectors rely on sequence-level averaging, which ignores the step-wise dynamics of reas…

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2026

Stop Guessing: Choosing the Optimization-Consistent Uncertainty Measurement for Evidential Deep Learning

Linye Li, Yufei Chen, Xiaodong Yue, Xujing Zhou, Qunjie Chen

ICLR 2026poster

Evidential Deep Learning (EDL) has emerged as a promising framework for uncertainty estimation in classification tasks by modeling predictive uncertainty with a Dirichlet prior. Despite its empirical success, prior work has primarily focused on the probabilistic properties of the Dirichlet distribut…

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