Jirui Han — accepted AI-conference papers

2026

AudioTrust: Benchmarking The Multifaceted Trustworthiness of Audio Large Language Models

Kai Li, Can Shen, Yile Liu, Jirui Han, Kelong zheng, Xuechao Zou +28

ICLR 2026poster

The rapid development and widespread adoption of Audio Large Language Models (ALLMs) require a rigorous assessment of their trustworthiness. However, existing evaluation frameworks, primarily designed for text, are not equipped to handle the unique vulnerabilities introduced by audio’s acoustic prop…

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2026

IRIS: Implicit Reward-Guided Internal Sifting for Mitigating Multimodal Hallucination

Yuanshuai Li, Yuping Yan, Jirui Han, Fei Ming, Lingjuan Lyu, Yaochu Jin

ICML 2026poster

Hallucination remains a fundamental challenge for Multimodal Large Language Models (MLLMs). While Direct Preference Optimization (DPO) is a key alignment framework, existing approaches often rely heavily on costly external evaluators for scoring or rewriting, incurring off-policy learnability gaps a…

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