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Shi-Cheng Li

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#computer vision Preprint Aug 2026

Semantic Head Specialization Guides Hybrid ViT Attention for Multimodal LLMs

This work studies ViT attention heads and finds they differentiate into object- and background-specialist roles, a pattern most pronounced under full attention, and proposes SHS-Index to quantify this specialization, showing that it distinguishes full-attention from chunk-window ViTs, and finds that it strongly tracks downstream benchmark performance.

Chenyu He, Lei Li, Shi-Cheng Li et al. · 0 citations
Preprint Aug 2026

What Proves You Wrong: Benchmarking Language Models on Falsifiable Research Ideation

The Lit2Test benchmark centers on a six-field contract organized around a falsifying outcome, so that every proposal precommits the observation that would prove it wrong, making its quality decidable in the first place rather than merely arguable.

Ziyue Wang, Aomufei Yuan, Yi-Ran Yao et al. · 0 citations

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