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NeurIPS 2026Southeastai2Multimodal reasoning

Can Linguistic Reasoning Vectors Enhance Multimodal Reasoning Ability?

Ziyi Wang, Li Li, Aolin Zhou, Yankun Shen and 3 more

Sydney Poster Session 6, Thu, Dec 10, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026SoutheastSouthern Collegeai2Vision-language models

CATS: Acceptance-Oriented Critical Token Adaptive Selection for Multimodal Speculative Decoding

Kaiwen Liu, Yangkai Xie, Shuxia Lin, Liu Chonghan and 2 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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86%Must read
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NeurIPS 2026Southeastai2U Texas at AustinIn-context learning & prompting

PULSE: Identifying Demonstration-Utility Features with Sparse Autoencoders

PULSE uses sparse autoencoders to identify internal features linked to demonstration utility and improves selection across classification, generation, and reasoning tasks.

Chenduo Hao, Chuanbao Gao, Pinjun Zeng, Jingze Zhu and 3 more

Sydney Poster Session 4, Wed, Dec 9, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 1/5