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Weisheng Tan

2 accepted papers

2026

Not Search, But Scan: Benchmarking MLLMs on Scan-Oriented Academic Paper Reasoning

ICLR 2026poster

With the rapid progress of multimodal large language models (MLLMs), AI already performs well at literature retrieval and certain reasoning tasks, serving as a capable assistant to human researchers, yet it remains far from autonomous research. The fundamental reason is that current work on scholarl…

Cited by 0SourcecodeScholar
2026

THEMIS: Towards Holistic Evaluation of MLLMs for Scientific Paper Fraud Forensics

ICLR 2026poster

We present **THEMIS**, a novel multi-task benchmark designed to comprehensively evaluate Multimodal Large Language Models (MLLMs) on visual fraud reasoning within real-world academic scenarios. Compared to existing benchmarks, THEMIS introduces three major advancements. (1) **Real-world Scenarios &…

Cited by 0SourcecodeScholar