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NeurIPS 2026OralU OxfordMeta / University of OxfordOxfordMechanistic interpretability

The Sign Code: The Hidden Binary Nature of Deep Networks

Niclas A Göring, Shuofeng Zhang, Roi Holtzman, yoonsoo nam and 1 more

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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67%Highly rated
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NeurIPS 2026OxfordAlleloCooperative AI FoundationUppsalaUK AI Security InstituteMulti-agent LLM systems

Inter-Agent Influence: Evaluating Persuasion, Deception and Coercion in Multi-Agent Systems

Chandler Smith, Cecilia E Tilli, Qi Guo, Sophia Hatz and 5 more

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

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AI panel: 2 of 20 reviewers recommend it
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NeurIPS 2026HanyangOxfordRepresentation & contrastive learning

Saddle-to-Saddle Dynamics in Self-Supervised Shortcut Learning

Juhwan Kim, yoonsoo nam, Sungyoon Lee

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

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86%Must read
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NeurIPS 2026NoneU OxfordOxfordDeepMindMila - Quebec Artificial IntelliModel-based RL

Inverting the Bellman Equation: From $Q$-Values to World Models

Value-based agents trained on diverse reward functions implicitly encode world models, extractable via P-learning, with sufficient conditions for exact dynamics recovery and cross-goal generalization.

Alistair Letcher, Mattie Fellows, Alexander D. Goldie, Jonathan Richens and 2 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 3/5
medium 8/10
strict 3/5
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NeurIPS 2026OralWorkshopHarvard University, Kempner InstOxfordHarvard University, HarvardDiffusion models

The two clocks and the innovation window: When and how generative models learn rules

Generative models learn rules at τ_rule and memorize at τ_mem, defining an innovation window that widens with dataset size but narrows with rule complexity across diffusion and autoregressive architectures.

Binxu Wang, Emma Finn, Bingbin Liu

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
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