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NeurIPS 2026U Illinois at Urbana-ChampaignMicrosoft AIMicrosoftMicrosoft ResearchUIUCSparse autoencoders

Cascaded Sparse Autoencoders LearnMulti-Level Visual Concepts in Multimodal LLMs

Yusong Zhao, Hengyi Wang, Tanuja Ganu, Akshay Nambi and 1 more

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

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medium 0/10
strict 0/5
91%Must read
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NeurIPS 2026SpotlightMicrosoft AIMicrosoftRL for LLMs

Knowing When to Ask: Segment-Level Credit Assignment for LLM Tool Use

CARL assigns segment-level reinforcement learning credit at tool-use boundaries to teach models when external tools are needed, improving accuracy by up to 9.7 points while cutting unnecessary calls by 53%.

Abhijit Kumar, Zoey WU, Mohit Suley

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

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17/20 AI panelreviewers recommend it

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 2/5