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arXivU Cambridge Alignment & preference optimization

On-Policy or Off-Policy Learning? A Systematic Study of Distillation Dynamics

In controlled strong-to-weak distillation, rollout policy is less central than token-level KL direction and learning rate, though on-policy data can improve generalization on harder reasoning tasks.

Julianna Piskorz, Antonin Berthon, Mihaela van der Schaar

Published Sep 28, 2026 · 0 citations · ▲ 194 on Hugging Face

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NeurIPS 2026U Cambridge U Colorado Anschutz Medical Camp U Colorado School of Medicine Multi-agent LLM systems

Open-Ended Scientific Discovery and the Social Dynamics of Evolving Agent Networks

Tennison Liu, Silas Ruhrberg Estévez, Rob Davis, Ryan M Sheridan and 2 more

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

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NeurIPS 2026Cornell U Cambridge Harvard Microsoft Research LLM pretraining & scaling laws

Express Language Modeling

Albert Gong, Annabelle M Carrell, Raaz Dwivedi, Lester Mackey

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

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NeurIPS 2026U British Columbia U Cambridge Diffusion models

PDE-SSM: A Spectral State Space Approach to Spatial Mixing in Diffusion Transformers

Eshed Gal, Moshe Eliasof, Eldad Haber

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

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NeurIPS 2026U Cambridge Flatiron Institute Computer Vision Center, Universi LLM evaluation & benchmarks

Auditing AI peer reviewers: a dose-response and false-positive benchmark on real scientific papers

Íñigo Zubeldia, Boris Bolliet, Francisco Villaescusa, Pablo Villanueva-Domingo 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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NeurIPS 2026U Cambridge BigHat Biosciences Proteins

Bonobo: Efficient Library-Scale Generation for De Novo Antibody Design

Sebastian Ober, Nick Bhattacharya, Phillip M Maffettone, Calvin McCarter and 1 more

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

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NeurIPS 2026U Cambridge Bayesian & probabilistic methods

Contour Monte Carlo: Sampling via Energy Level Sets

Varun Jain, Hong Ge

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

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NeurIPS 2026U Cambridge U Glasgow Radboud University Nijmegen LLM pretraining & scaling laws

Towards Closing the Autoregressive Gap in Language Modeling via Entropy-Gated Continuous Bitstream Diffusion

Georgios Batzolis, Mark Girolami, Luca Ambrogioni

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

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NeurIPS 2026U Cambridge U Texas at Austin The University of Texas at Austi UT Austin Bayesian & probabilistic methods

One-Shot Private Confidence Regions via Resampling

Po-Ling Loh, Debepsita Mukherjee, Shourya Pandey, Purnamrita Sarkar

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026ETH Zürich KTH Royal Institute of Technolog ETH Zurich U Cambridge Active learning

Forgetting to Improve: Principled Data Removal in Active Learning

Manuel Wendl, Erik Englesson, Andreas Krause, Carl Henrik Ek

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

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NeurIPS 2026Reflection.ai U Cambridge Google DeepMind Google Research Google DeepMind & UCL Web & GUI agents

A Subgoal-driven RL Framework for Improving Long-Horizon Web Agents

Taiyi Wang, Sian Gooding, Florian Hartmann, Oriana Riva 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 2026Xi'an Jiaotong Tencent U Cambridge Peking Union Medical College LLM agents & planning

PathNavigate: A Training-Free Pathology Agent with Surprise-Guided Scan and Shared Slide Memory for Whole-Slide VQA

Chunze Yang, Qidong Liu, Wenjie Zhao, Yue Tang and 9 more

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

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NeurIPS 2026Tavus U Cambridge Toshiba Europe Ltd Instruction tuning

LoRAtorio: An intrinsic approach to LoRA Skill Composition

Niki Foteinopoulou, Ignas Budvytis, Stephan Liwicki

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

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NeurIPS 2026U Cambridge Mechanistic interpretability

How Language Models Compress and Compare: Understanding Selection with Token Covariance Maps

Moshe Eliasof

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

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NeurIPS 2026U Cambridge Representation & contrastive learning

Robust Amortized Simulation-Based Inference via Learned Error Models

Matthew O&#x27;Callaghan, Kaisey Mandel, Gerard Gilmore

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Stanford U Hong Kong U Cambridge U the Chinese Academy of Science Vision-language models

Anchoring LLM-based Chest X-ray Report Generation via Diffusion Language Planning

Jiechao Gao, Chang Liu, Yuandong Pan, Ying Liu and 1 more

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

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NeurIPS 2026SpotlightU Cambridge Princeton Physics-informed ML & PDEs

Learning Discrete Riemannian Metrics for Physical Fields with Cochain-Frame Equivariance

Dongzhe Zheng, Christine Allen-Blanchette

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

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NeurIPS 2026Stanford U Cambridge Stanford AI 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 2026U Cambridge Palisade Research Korea Advanced Institute of Scie MATS George Washington Alignment & preference optimization

Symmetric Interventions for Eliciting Model Intent

David Vella Zarb, Rustem Turtayev, Taywon Min, Jinghua Ou 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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NeurIPS 2026U Bristol U Cambridge Ruprecht-Karls-Universität Heide U Southampton University College London, Unive Video-language models

The VLM as Sensor: Bayesian Active Search for Long Video Understanding

Chong Tang, Sannara EK, Dirk Koch, Robert Mullins 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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NeurIPS 2026U Oslo U Cambridge U Oslo, INTEGREAT, TRUST Bayesian & probabilistic methods

Breaking Curse of Dimensionality for Mutual Information Estimation with Vine Copulas

Sigurd Holmsen, Berit Øksnes, Ingrid Hobæk Haff, Sylvia Richardson 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 2026Huazhong University of Science a Beijing University of Posts and The Hong Kong Polytechnic U Cambridge Privacy

Personalized Safety in Federated Fine-Tuning of Large Language Models

Tianzhe Xiao, Gaozhuo Liu, Yichen Li, Haozhao Wang and 3 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Cambridge U Glasgow Flow matching

Compatible Likelihoods for Flow Matching on Manifolds

Lucas Ng, Georgios Batzolis, Mark Girolami

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

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NeurIPS 2026YerevaNN U Cambridge YerevaNN, Yerevan State Molecules & drug discovery

PMO-Dock: Benchmarking Docking, Specificity, and Generalization in Molecular Optimization

Gor Simonyan, Tatevik Abrahamyan, Narek Abelyan, Tigran Fahradyan 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 2026Zhejiang Lancaster U Cambridge Offline RL

Trajectory-Consistent Diffusion Policies for Offline Reinforcement Learning

Yichao Fu, Shangde Gao, Zhuoling Li, Wen 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 2026U Cambridge Microsoft Research Alibaba Group RL for LLMs

Reward Budgeting Reduces Premature Convergence in Reinforcement Learning for LLM Reasoning

Mengni Jia, Mengyu Zhou, xiaoxi jiang, Guanjun Jiang

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

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NeurIPS 2026U Cambridge Representation & contrastive learning

Scaling Causal Reasoning with Increasingly Complex Causal Simulators

Nicolás Astorga, Anita Kriz, Mihaela van der Schaar

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

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NeurIPS 2026Department of Computer Science, U Cambridge California Institute of Technolo Caltech MIT LLM evaluation & benchmarks

We Need to Improve Benchmarks in AI for Mathematics

Simon Frieder, Jonas Bayer, Shi Zhuo Looi, Jacob Loader and 14 more

Paris Poster Session 4, Thu, Dec 10, 5:30 PM–7:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Cambridge Bocconi Hallucination & factuality

Large Language Model Failures from Hallucination to Homogenization Are Different Facets of Miscalibration

Tiancheng Hu, Caiqi Zhang, Dirk Hovy, Nigel Collier

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

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NeurIPS 2026École Polytechnique Zillow Group, Inc.Lamarck Labs U Tuebingen Ecole polytechnique 3D vision & reconstruction

Understanding Multi-View Transformers

Julien Gaubil, Michal Stary, Louis Martinez, Andreas Geiger and 3 more

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

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NeurIPS 2026Ben Gurion University of the Neg U Cambridge Graph neural networks

Module-Aware Optimization for Graph Neural Networks

Guy Hadad, Haggai Roitman, Moshe Eliasof, Bracha Shapira

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

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NeurIPS 2026KTH Royal Institute of Technolog Harvard Mistral AI Stanford Cambridge, Alan Turing Institute Reward models & LLM-as-a-judge

A Matter of Interest: Understanding Interestingness Judgments of Math Problems in Humans and Language Models

Shubhra Mishra, Yuka Machino, Gabriel Poesia, Albert Q. Jiang and 8 more

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

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NeurIPS 2026U Cambridge Sanger Institute U Stellenbosch Carnegie Mellon U Cambridge Welcome Sanger Genomics & single-cell

PRISM: Phenotype-Resolved Inference in Single-Cell Mixed Models via Latent Disease States and Contextualized Differential Expression

Andrea Rubbi, Lama Salem, Caleb Ellington, Pietro Lió and 3 more

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

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NeurIPS 2026Harvard Massachusetts Institute of Techn the Kempner Institute for the St UC San Diego U Cambridge 3D vision & reconstruction

Unified Generative-Predictive Modeling for 4D Scene Understanding

Amani Kiruga, Zhiyi Li, Ruojin Cai, Hansen Lillemark and 3 more

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

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NeurIPS 2026Meta Facebook Meta | UCL Oxford & Meta FAIR at Meta, University of Oxfo LLM agents & planning

AIRA 2: Overcoming Bottlenecks in AI Research Agents

Karen Hambardzumyan, Nicolas Baldwin, Edan Toledo, RISHI HAZRA and 21 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Tübingen, EPFL, Zuse School EL U Cambridge Technical University of Munich Middle East Technical Fairness & bias

KINDER: Kernel-based Independence for Fair Representation Learning via Prototype-space Erasure

Abtin Mogharabin, Jiaee Cheong, Alp Toykan Kaplan, Sinan Kalkan

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026U Cambridge U Cambridge, UK Multi-agent RL

Generalized Intention Modeling in Multi-Agent Reinforcement Learning

A task-adaptive framework learns a performance-driven mixture of opponent intent representations to improve multi-agent reinforcement learning across diverse tasks.

Mateusz Odrowaz-Sypniewski, Jasmine Bayrooti, Ajay Shankar, Amanda Prorok

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

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lenient 4/5

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NeurIPS 2026U Cambridge ETH Zurich ETH Zürich Learning theory

Generating in the Limit with Infinitely Many Hallucinations

Language generation in the limit is recast as recall-precision trade-offs, showing that allowing infinitely many vanishing-frequency hallucinations can strictly increase recall when adversaries withhold target portions.

Irene Strauss, Alexandra Butoi, Ryan Cotterell

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

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lenient 4/5

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NeurIPS 2026Peking U Cambridge LLM pretraining & scaling laws

HESTIA: A Hessian-Guided Differentiable Quantization-Aware Training Framework for Extremely Low-Bit LLMs

HESTIA replaces hard quantization with Hessian-guided temperature-controlled soft relaxation for low-bit LLM training, improving 1.58-bit Llama-3.2 1B and 3B zero-shot accuracy by 5.39% and 4.34%.

Guoan Wang, Feiyu Wang, Zongwei Lv, Yikun Zong and 2 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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88%Must read

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