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Chong-Han Liu

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#artificial intelligence Preprint Sep 2026

PULSE: Identifying Demonstration-Utility Features with Sparse Autoencoders

In-context learning is highly sensitive to demonstration choice, yet most methods select demonstrations using external query-demonstration similarity. Such criteria can miss model-specific signals: Similar demonstrations may activate different internal features and downstream behaviors. We introduce PULSE (Paired Utili...

Chen-Duo Hao, Chuan-Bao Gao, Pin-Jun Zeng et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?

Most Vision-Language Models (VLMs) are built by extending pretrained Large Language Models (LLMs) with visual modules and multimodal alignment. However, this multimodal scaling often degrades the language-side reasoning ability originally encoded in the base LLM. While the base LLM retains usable reasoning after scalin...

Zi-Yi Wang, Li Li, Ao-Lin Zhou et al. · 0 citations

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