Papers by Yizhuo Zhao

2 papers
AEGIS: A Holistic Benchmark for Evaluating Forensic Analysis of AI-Generated Academic Images (2026.acl-long)

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Challenge: AEGIS examines whether current models can effectively audit AI-generated images in academic papers.
Approach: They propose a holistic benchmark for forensic analysis of AI-Generated academic ImageS that reveals limitations in academic image forensics.
Outcome: AEGIS compared with existing benchmarks on seven academic categories and features key advances in forensic analysis.
UNIVID: Unified Vision-Language Model for Video Moderation (2026.acl-industry)

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Challenge: Existing video moderation systems rely on fragmented black-box classification models that are difficult to maintain and lack transparency.
Approach: They propose a Unified Vision-Language model for Video Moderation that generates policy-aware captions that serve as an interpretable intermediate representation.
Outcome: The proposed model reduces violation leakage and overkill rate by 42.7% while reducing maintenance costs.

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