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NeurIPS 2026U BernMassachusetts Institute of TechnMITLong-context modeling

Scaling Limits of Long-Context Transformers

Giuseppe Bruno, Chen, Zhengjiang Lin, Yury Polyanskiy 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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NeurIPS 2026Universität BernU BernU Bern and HeidelbergDepartment of Physiology, UniverRepresentation & contrastive learning

K-prop: Deep Online Learning by Backpropagating Temporal Kernels

Bingkun Liu, Paul Haider, Federico Benitez, Mihai A. Petrovici and 1 more

Paris Poster Session 3, Thu, Dec 10, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U BernEPFLTest-time compute

Attention-Discounted Adaptive Sampler for Masked Diffusion Language Models

ADAS reranks masked diffusion sampling by discounting token confidence via attention to selected uncertain positions, improving low-step reasoning and code accuracy by up to 10.5 points with minimal overhead.

Yusuf Sahin, Ahmed R Saikia, Volkan Cevher, Paolo Favaro

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
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