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arXivU Wisconsin–Madison New York Stanford RL for LLMs

Sharpening Tax in Post-Training

Post-training sharpens base model behaviors at the cost of solution coverage, introducing a quantifiable "Sharpening Tax"; a posterior-tempered group sampler reduces this tax while boosting accuracy.

Changdae Oh, Qi Zeng, Qi Qi, Andrey Zhmoginov and 6 more

Published Oct 1, 2026 · 0 citations · ▲ 102 on Hugging Face · Code ★ 25

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arXivGoogle U North Carolina Health Care Stanford Washington University in St. Lou LLM agents & planning

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

RRSI regularizes recursive agent harness self-improvement via annealed edit budgets, trajectory exploration, and critical selection to boost out-of-distribution performance and reduce token use. It improves up to 14.1 points in-distribution and 4.7 points out-of-distribution while cutting policy tok

Peng Xia, Rujun Han, Zifeng Wang, Yanfei Chen and 10 more

Published Sep 21, 2026 · 0 citations · ▲ 222 on Hugging Face · Code ★ 1,293

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arXivU Washington Stanford LLM pretraining & scaling laws

Scaling Participation in Modular AI Systems

Modular participatory AI combines small stakeholder-trained models into compositional systems that outperform monolithic LLMs by up to 15.4% and exhibit emergent collaborative capabilities.

Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer and 2 more

Published Jun 5, 2026 · 0 citations

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ACL 2026U Washington New York Massachusetts Institute of Techn Stanford Test-time compute

When One LLM Drools, Multi-LLM Collaboration Rules

Multi-LLM collaboration outperforms single LLM reasoning on tasks where individual models fail, demonstrating collective rule over solo drooling.

Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang and 9 more

Published 2026 · 1 citation

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ACL 2025U Washington Stanford Ethics & social impact

Biased LLMs can Influence Political Decision-Making

Biased LLMs influence political decision-making, altering judgments and choices in simulated policy scenarios with measurable partisan effects.

Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson and 5 more

Published 2025 · 13 citations

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arXivU California, Berkeley Stanford U California San Diego Efficient inference & serving

Efficient Memory Management for Large Language Model Serving with PagedAttention

PagedAttention applies OS virtual memory and paging to LLM key-value caches, reducing waste and duplication to boost vLLM throughput 2-4x over existing systems.

Woosuk Kwon, Zhuohan Li, Siyuan Zhuang, Ying Sheng and 5 more

Published Sep 12, 2023 · 50 citations · ▲ 76 on Hugging Face · Code ★ 86,094

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NeurIPS 2026Stanford Molecules & drug discovery

GlycoGen: Crystallizing Flows for De Novo Glycan Structure Prediction

Romain Lacombe

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

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NeurIPS 2026Stanford Toyota Technological Institute a RL for LLMs

A Theoretical Framework for Self-Play Theorem Proving Algorithms

Thomas Chen, Zhiyuan Li

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

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NeurIPS 2026OralUniversitys of Waterloo U Waterloo Stanford Yale Semi- & weakly supervised learning

Surprises in Proper Positive-Only Learning

Shai Ben-David, Farnam Mansouri, Anay Mehrotra, Manolis Zampetakis

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

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NeurIPS 2026Stanford Semi- & weakly supervised learning

Partially Performative Prediction

Jaewook Lee, Tijana Zrnic

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

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NeurIPS 2026Stanford Swiss Federal Institute of Techn Goodfire Adversarial robustness

Shifting the Gradient: Understanding How Defensive Training Methods Protect Language Model Integrity

Satchel Grant, Victor Gillioz, Jake Ward, Tom McGrath

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

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NeurIPS 2026Stanford University, Department Stanford Stanford Bayesian & 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 2026Carnegie Mellon Stanford Learning theory

Bentkus-type asymptotic e-values

Diego Martinez Taboada, Ben Chugg, Aaditya Ramdas

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

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NeurIPS 2026Yale Stanford LLM reasoning & chain of thought

Reasoning with Sampling: Cutting at Decision Points

Felix Zhou, Anay Mehrotra, Quanquan C Liu

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026Peking ByteDance Stanford The Chinese University of Hong K Massachusetts Institute of Techn Video generation

Spatially-Grounded Long Video Generation with Self Geometry Forcing

Chenguo Lin, Panwang Pan, Bowen Xue, Ruijie Lu and 4 more

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

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69%Highly rated

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NeurIPS 2026Stanford Stanford Stanford University / Virtue AI Alignment & 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 2026Harvard Stanford Jilin ByteDance Inc.Vision-language models

Render Structure Uncertainty for HTML Repair in MLLM-based UI-to-Code Generation

Haoran Ma, Jiechao Gao, Shisong Tang, bing han 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 2026Stanford Apple U Oxford U Texas at Austin Harvard Fairness & bias

Multigroup Fairness and Omniprediction: Separations and Equivalences

Sílvia Casacuberta, Parikshit Gopalan, Varun Kanade, Omer Reingold and 2 more

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

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NeurIPS 2026d_model ML & Alignment Theory Schola Stanford MATS Research Google DeepMind Deep RL

Gradient Routing Localizes and Removes Unintended Behaviors in RL

Jake Ward, Shawn Hu, Aria Wong, Nathan Hu and 3 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 Maryland, College Park Stanford Bar-Ilan Goodfire LLM pretraining & scaling laws

Pretraining Data Statistics Shape the Phases of Learning Entity Comparison in Language Models

Yik S Chan, Jing Huang, Yanai Elazar, Atticus Geiger

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

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NeurIPS 2026Stanford Efficient attention & state-space models

Parallel Broyden methods for efficiently evaluating nonlinear state space models

Ian Christopher Tanoh, Scott Linderman

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

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NeurIPS 2026Tsinghua The University of Sydney Stanford Baichuan Multimodal hallucination

VIGOR: Visual Gain Ordering for Hallucination Mitigation in Multimodal Discrete Diffusion Language Models

Junzhe Chen, Tian Qin, Eugenie Shi, Tianshu Zhang and 2 more

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

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NeurIPS 2026Stanford U California, Berkeley UC Berkeley Materials & chemistry

CME–SpectrumBench: Can LLMs Analyze Condensed Matter Spectral Data?

Jin Gene Wong, Anjney Midha, Joseph Tennyson, Wei-Lin Chiang and 2 more

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

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NeurIPS 2026Purdue Stanford Michigan State Purdue University RL for LLMs

$f$-GRPO & Beyond: Divergence-Based Reinforcement Learning Algorithms for General LLM Alignment

Rajdeep Haldar, Lantao Mei, Guang Lin, Yue XING 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 2026Hong Kong University of Science Ant Group Ant Research Stanford Pose & motion

PosePlaner: Denoising Any Feedforward Pose Predictor from Pairwise Planar Geometry

Yihang Chen, Bin Tan, Yujun Shen, Yinghao Xu 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 2026OralThe University of Tokyo The University of Tokyo & RI Waseda University, Japan Waseda RIKEN Agent 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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NeurIPS 2026Stanford Computer Science Department, Sta SAP SE Apple &amp; University of Wa Stanford University/Pinterest Graphs & LLMs

Large-Scale Pretraining unlocks Few-Shot Prediction for Relational Data

Rishabh Ranjan, Vignesh Kothapalli, Harshvardhan Agarwal, Charilaos Kanatsoulis and 4 more

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

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NeurIPS 2026Stanford Stanford Google Brain Efficient 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 2026Tsinghua University, Tsinghua Ant Group Hong Kong University of Science Ant Research Stanford Video generation

Persistent Planar Memory for Video World Models

Yuze He, Bin Tan, Zelin Gao, Yujun Shen and 3 more

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

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NeurIPS 2026ustc.edu.cn U Science and Technology of Chin U Technology Sydney; Data61, CSI Mohamed bin Zayed University of Shanghai AI Laboratory Navigation & SLAM

Seeing Together, Acting Apart: Shared Environmental Understanding for Multi-Robot Navigation

haihong hao, Lei Chen, Mingfei Han, Dong An and 6 more

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

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NeurIPS 2026Stanford Stanford University / Virtue AI Efficient & distributed training

Is Backpropagation Optimal? When Synthetic Gradients Improve Sample Efficiency

Yibo Jacky Zhang, Zeyu Tang, Sanmi Koyejo

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026

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NeurIPS 2026U Science and Technology of Chin Stanford Jilin Image recognition

U-MOF: Uncertainty-Guided Parameter-Efficient Multi-Objective Fine-Tuning for Long-Tailed Recognition

Yuan Dong, Di Wu, Zhe Zhao, Liheng Yu 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 2026U Science and Technology of Chin Stanford Jilin Image recognition

BasicLT: Basic-Level Abstraction and Selective Differentiation for Long-Tailed Recognition

Yuan Dong, Di Wu, Zhe Zhao, Liheng Yu and 3 more

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

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NeurIPS 2026National University of Singapore Department of Computer Science a Nanjing Xi'an University of Posts a Institute of Automation, Chinese Molecules & drug discovery

Pareto Preference Optimization for Structure- and Stability-Aware RNA Inverse Folding

Minghao Sun, Hanqun Cao, Zhou Zhang, Chen Wei and 9 more

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

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NeurIPS 2026Stanford Google Deepmind Tilde Research / Stanford Tilde Research Parameter-efficient fine-tuning

PreFT: Prefill-only finetuning for inference efficiency

Andrew Lanpouthakoun, Aryaman Arora, Zhengxuan Wu, Dhruv Pai and 3 more

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

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NeurIPS 2026Microsoft Research / UIUC MPI for Intelligent Systems, Tüb Max Planck Institute for Intelli Stanford MIT LLM evaluation & benchmarks

AI Construct Lexis: An Ontology of the Hidden Assumptions in AI Evaluation

Olawale Salaudeen, Florian E. Dorner, Tom Sühr, Sang Truong and 12 more

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

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NeurIPS 2026U Texas, Austin Stanford Stanford Video 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 Tübingen Stanford Eberhard-Karls-Universität Tübin Tübingen AI Center, University o University College London, Unive Computational neuroscience

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

Federico D&#x27;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 2026Stanford U British Columbia, Google Stanford University / Virtue AI LLM evaluation & benchmarks

Strategic Evaluation: Incentivizing AI Capability Coverage with Private Benchmarks

Sang Truong, Serena Wang, Nick Haber, Sanmi Koyejo

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

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NeurIPS 2026Microsoft U Washington Stanford Research, Microsoft PUC-RIO RL for LLMs

Multi-Turn RL Makes Small Language Model Competitive for Optimization Modeling

Xinzhi Zhang, Zeyi Chen, Humishka Zope, Hugo Barbalho and 5 more

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

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NeurIPS 2026Stanford Uber Vision-language models

Rethinking Contrastive Targets in Radiology Language-Image Pretraining

Yunhe Gao, Ashwin Kumar, Jiaming Liu, Chong Wang and 7 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · 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 2026Institute of Science and Technol Stanford ETH Zurich Google Brain LLM pretraining & scaling laws

Speculative Self-Distillation enables Efficient Knowledge Internalization

Shayan Talaei, Agam Bhatia, Arshia Soltani Moakhar, Jonas Hübotter 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 2026Stanford Vision-language models

Learning to See Through Language: An Exploration of Language Modeling's Effect on Visual Representations

Mark Endo, Shiye Su, Yuhui Zhang, Serena Yeung-Levy

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 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 2026SpotlightStanford U Washington RL for LLMs

Rethinking Visual Reasoning in Text-to-Image Reward Modeling

Shiye Su, Xiaohan Wang, Ludwig Schmidt, Serena Yeung-Levy

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

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NeurIPS 2026U British Columbia Zhejiang Stanford Vector Institute UBC | Vector Institute | Google Speech synthesis

RVCBench: Benchmarking Robustness of Voice Cloning Across Modern Audio Generation Models

Ruinan Jin, Xinting Liao, Hanlin Yu, Deval Pandya 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 2026Stanford U Minnesota - Twin Cities U Wisconsin - Madison Johns Hopkins Texas A&M University - Colle 3D generation

AnaDiffusion: Anatomically Compositional Latent Diffusion for Controllable 3D Brain MRI Generation

Tracy Han, Lulin Liu, Bangya Liu, Yuanhao Cai and 7 more

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

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NeurIPS 2026Northeastern Stanford Stanford Khoury College of Computer Scien LLM 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 2026Stanford Pose & motion

DopplerWild: A Doppler Dataset and Benchmark for Human Kinematic Understanding in the Wild

Shubo Yang, Aaron Wang, Narayan Schütz, Jida Zhang and 4 more

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

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NeurIPS 2026U California, Berkeley Peking U Science and Technology of Chin Carnegie Mellon Stanford Software engineering agents

Verify0: Can AI Agents Build Formally Verified Software Repositories?

Zhe Ye, Hantao Lou, Yuechun Sun, Peiyang Song and 7 more

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

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NeurIPS 2026Modal/Harvard Stanford Harvard Thinking Machines Lab, Stanford Columbia ML 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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NeurIPS 2026Stanford Princeton Harvard UIUC Facebook Code generation

ProgramBench: Can Language Models Rebuild Programs From Scratch?

John Yang, Kilian Lieret, Jeffrey Ma, Parth Thakkar and 8 more

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

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NeurIPS 2026Stanford U Maryland, College Park Imperial College London Google DeepMind Proteins

Plausible Biomolecular Structure Prediction via Physics-informed Reinforcement Learning

Tai Dang, Hieu Tran, Long-Hung Pham, Sang Truong 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 2026Stanford Stanford Vision-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 2026University College London, Unive Gatsby Unit, UCL Stanford Deep learning theory

How are linear representations learned? Exact solutions to the dynamics of abstraction

William W Yang, Peter E Latham, Andrew Saxe

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

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NeurIPS 2026Stanford Percepta Cornell Representation & contrastive learning

Refactoring Code Through Library Design

Žiga Kovačič, Justin Chiu, Celine Lee, Wenting Zhao 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 2026Stanford Diffusion models

Order-Marginalized Scoring for Masked Diffusion Models

Arthur Deng, Sebastian Thrun

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

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NeurIPS 2026Stanford U Washington U Washington; Meta Carnegie Mellon Stanford University/Pinterest Unified multimodal models

M*: A Modular, Extensible, Serving System for Multimodal Models

Atindra Jha, Naomi Sagan, Keisuke Kamahori, Irmak Sivgin and 8 more

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

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NeurIPS 2026Universitat Politècnica de Catal Stanford Universitat Pompeu Fabra Universidad Politécnica de Catal U California, Berkeley Datasets & benchmarks

TabBioMed: A Large-Scale Benchmark for Biomedical Tabular Learning

Pau Mateo Bernadó, Saivenkata Nagavyjayanthi Polapragada, Pol Arbiol Rakuljic, Laia M Pladevall and 7 more

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

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