Papers by Yuyue Zhang

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.
EvoWiki: Evaluating LLMs on Evolving Knowledge (2025.acl-long)

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Challenge: Existing knowledge evolution benchmarks are static and fail to capture the evolving nature of LLMs and knowledge.
Approach: They propose an evolving dataset that categorizes information into stable, evolved, and uncharted states.
Outcome: The proposed dataset is auto-updatable and enables evaluation of continuously changing knowledge and newly released LLMs.

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