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NeurIPS 2026Stanford University, Department StanfordStanfordBayesian & probabilistic methods

An exact information theory of generalization phase transitions in Bayesian diffusion models

Henry Hunt, Mason Kamb, Surya Ganguli

Paris Poster Session 6, Fri, Dec 11, 2:30 PM–4:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026StanfordStanfordStanford University / Virtue AIAlignment & preference optimization

Behaving Better, Thinking Worse: Sycophancy Across Post-Training Stages

Sonnet Xu, Kritika Singh, Sheharbano Jafry, Roxana Daneshjou and 1 more

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

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NeurIPS 2026TsinghuaU OxfordStanford; Noeri AIStanfordLLM reasoning & chain of thought

LLMs Keep Thinking When Told Not To

Dianqiao Lei, Kevin Qinghong Lin, Pan Lu, Philip Torr and 1 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026OralThe University of TokyoThe University of Tokyo & RIWaseda University, JapanWasedaRIKENAgent benchmarks & environments

Can LLM Agents Respond to Disasters? Benchmarking Heterogeneous Geospatial Reasoning in Emergency Operations

Junjue Wang, Weihao Xuan, Heli Qi, Pengyu Dai and 6 more

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

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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 0/5
57%Worth a look
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NeurIPS 2026StanfordStanfordGoogle BrainEfficient inference & serving

Accelerating the Inference Era with AI-Driven, Globally Optimized HW/SW Co-Design

Miria Feng, Fangzhao Zhang, Adrian G Lafuente, Mert Pilanci and 1 more

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

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NeurIPS 2026The Hong Kong University of ScieHunanTsinghuaTsinghua University, TsinghuaStanfordEmbodied agents

Decoupling Action from Egocentric Observation for World Simulation

Yue Ma, Pengjie Song, Xinyu Wang, Yi He and 9 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026StanfordNVIDIANVIDIA & StanfordComputer Science Department, StaEfficient inference & serving

Pacing Branch Parallelism in LLM Serving

Swapnil Gandhi, Siva Kumar Sastry Hari, Bill Dally, Christos Kozyrakis

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U Texas, AustinStanfordStanfordVideo generation

Recreating Video Arenas via Automated Preference Scoring

Yue Zhao, Aniket Gupta, Juze Zhang, Tiange Xiang and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026OralU TübingenStanfordEberhard-Karls-Universität TübinTübingen AI Center, University oUniversity College London, UniveComputational neuroscience

Evaluating Neural Data Tokenizers: A Framework for Assessing Learned Representations of Spiking Activity

Federico D'Agostino, Alex Gilbert, Susanne Keller, Jaivardhan Kapoor and 16 more

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

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NeurIPS 2026StanfordU CambridgeStanfordAI oversight & deception

Position: AI Development Should Prioritize Cognitive Security

Batu El, Shiye Su, Aneesh Pappu, Peggy Yin and 5 more

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

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NeurIPS 2026NortheasternStanfordStanfordKhoury College of Computer ScienLLM agents & planning

Shepherd: A Runtime Substrate Empowering Meta-Agents with a Formalized Execution Trace

Simon Yu, Derek Chong, Ananjan Nandi, Dilara Soylu 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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NeurIPS 2026Modal/HarvardStanfordHarvardThinking Machines Lab, StanfordColumbiaML systems & compilers

Hawkeye: Hardware-Aware GPU Kernel Optimization with Minimal Supervision

Arya Tschand, Kesavan Ramakrishnan, Alexander Ingare, Simon Guo and 5 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026StanfordPurdueVision-language-action models

Rethink Action Chunking in VLA Through Human Motor Control

Wenxi Chen, Yuejiang Liu, Zijian He, Shaoshuai Mou and 1 more

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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lenient 1/5
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NeurIPS 2026StanfordStanfordVision-language models

Multimodal AI Detection In Two Words

Daniel Fein, Arpita Singhal, Maneesh Agrawala, Maty Bohacek

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

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NeurIPS 2026Arda IndustriesCornellComputer Science Department, StaStanfordPruning & sparsity

TrunkFish: Making Model Width Incrementally Refinable

Owen M Dugan, Liam Dugan, Aaryan Singhal, Christopher De Sa and 1 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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57%Worth a look
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NeurIPS 2026StanfordProxy FoodsU PiraeusProxy Foods Inc.Food System InnovationsProteins

Expert-guided Bayesian optimization for sustainable protein formulation

Anna Thomas, Georgios Zaverdinos, Petros Mandalis, Andreas Orfanoudakis and 8 more

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

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NeurIPS 2026U California, Santa BarbaraSakanaSwiss AI Lab, IDSIA (USI & SStanfordLLM agents & planning

Sampling Is Not Curiosity: Why LLM Agents Should Investigate

Alfonso Amayuelas, Piotr Piękos, Xin Wang, William Yang Wang and 2 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026StanfordFremont Unified School DistrictStanfordMIT/GoogleText-to-image

Characterizing the Aesthetic Defaults of Generative Image Models

Maty Bohacek, Raina Panda, Daniel Fein, Arpita Singhal and 3 more

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

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89%Must read
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NeurIPS 2026StanfordTogether AIGoogle BrainStanfordOn-device ML

Intelligence per Watt: Measuring Intelligence Efficiency of Local AI

Proposing intelligence per watt to evaluate local LLM inference, the study finds local models answer 88.7% of queries with 5.3x efficiency gains since 2023 but remain 1.4x less efficient than cloud accelerators.

Jon Saad-Falcon, Avanika Narayan, Hakki Akengin, J. W Griffin and 10 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 17 on Hugging Face · Code ★ 95

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 4/5
88%Must read
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NeurIPS 2026OralU Wisconsin - MadisonU Wisconsin, MadisonStanfordLLM evaluation & benchmarks

Fisher-R1: Training LLM Agents for Reliable Hypothesis Testing

P-Bench reveals LLM agents make subtle inferential errors in hypothesis testing, and Fisher-R1 improves reliability via reinforcement learning to outperform GPT-5.4 and DeepSeek-V4-Pro.

Jiacheng Miao, Jin Mu, Guanhua Chen, James Zou

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
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