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arXivPekingNanyang TechnologicalTsinghuaU Wisconsin–MadisonPrincetonMultimodal reasoning

BabyVision: Visual Reasoning Beyond Language

BabyVision benchmarks core visual reasoning without language and finds top MLLMs score far below human children.

Liang Chen, Weichu Xie, Yiyan Liang, Hongfeng He and 26 more

Published Jan 10, 2026 · 1 citation · ▲ 201 on Hugging Face · Code ★ 257

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NeurIPS 2026Tel AvivPrincetonTime series forecasting

A Memory Efficient Unified Algorithm for Online Learning of Linear Dynamical Systems

Yuval Ran-Milo, Angelos Assos, Elad Hazan

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

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NeurIPS 2026SpotlightPrincetonPrincetonAI oversight & deception

Do Thinking Tokens Help with Safety?

Narutatsu Ri, Abhishek Panigrahi, Sanjeev Arora

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

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NeurIPS 2026OralMassachusetts Institute of TechnMicrosoftPrincetonMITWeather & climate

Mechanism-Aware Ensemble Conditioning for Data-Limited Emulation of Extreme Events

Isabella Thiel, Juan M. Bello-Rivas, Yannis Kevrekidis, Themis Sapsis

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

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NeurIPS 2026PrincetonLLM pretraining & scaling laws

Meta-memorization and memorization scaling laws in transformers

Alex Nguyen, Kenneth Norman, Gautam Reddy

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

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NeurIPS 2026PrincetonVision-language models

HEED: Density-Weighted Residual Alignment for Hybrid Vision-Language Model Distillation

Yihao Liang, Niraj Jha

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

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NeurIPS 2026PrincetonPrincetonFacebookLLM pretraining & scaling laws

Learning Rate Transfer in Normalized Transformers

Boris Shigida, Boris Hanin, Andrey Gromov

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

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NeurIPS 2026U PennsylvaniaPrincetonFAIR, MetaDiffusion models

Do Diffusion Models Learn to Generalize Basic Visual Skills?

Amish Sethi, Boya Zeng, Wenhao Chai, Zhuang Liu

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

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NeurIPS 2026U TorontoChalmers University of TechnologPrincetonU Toronto & Vector InstituteDistribution shift & OOD detection

When to Trust a PFN: Detecting Harmful Shift in Tabular Foundation Models

Viet Nguyen, Herman Bergström, Stephan Rabanser, Rahul Krishnan

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

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NeurIPS 2026TsinghuaPrincetonPhysics-informed ML & PDEs

Discovering Phase Space Structure in Learned Hamiltonian Systems

Jiayin Liu, Yulong Yang, Vineet Bansal, Christine Allen-Blanchette

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

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NeurIPS 2026PrincetonGoogleGoogle researchVirginia TechGoogle ResearchData attribution

A Computational Perspective to Data Ablation Experiments

Jiachen (Tianhao) Wang, Lin Chen, Mohammadhossein Bateni, Ruoxi Jia 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 2026PrincetonMeta, transfer & few-shot learning

Inferring learning rules in deep neural network architectures from animal learning data

Shaunak Bhandarkar, Jonathan Pillow

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

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NeurIPS 2026Institute of automation, ChineseU Illinois, Urbana ChampaignFacebook AI ResearchPrincetonSpeech recognition

Dialect ASR based on Multi-View Pseudo-Parallel Augmentation and Noise-Robust Contrastive Learning

Jianing Zhou, Ziheng Zeng, Hongyu Gong, Suma Bhat

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

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NeurIPS 2026PrincetonSentientSentient FoundationU WashingtonU Illinois at Urbana-ChampaignAI policy & governance

Position: Reconciling Open Access with Owner Control in AI Model Distribution Deserves More Research Effort

Zerui Cheng, Edoardo Contente, Benjamin Finch, Oleg Golev and 7 more

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

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NeurIPS 2026PrincetonPhysics-informed ML & PDEs

Frequency-Structured Hamiltonian Neural Network for Multi-Timescale Dynamics

Yaojun Li, Yulong Yang, Christine Allen-Blanchette

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

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NeurIPS 2026PrincetonFAIR, MetaAgent benchmarks & environments

CEO-Bench: Can Agents Play the Long Game?

Haozhe Chen, Karthik Narasimhan, Zhuang Liu

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · Code ★ 82

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NeurIPS 2026Kyung HeeKyungheePrincetonVideo-language models

Which Way Did It Move? Diagnosing and Overcoming Directional Motion Blindness in Video LLMs

Jongseo Lee, Hyuntak Lee, Sunghun Kim, Sooa Kim 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 2026SpotlightPrincetonGoogle DeepMindIn-context learning & prompting

Reinforced Fast Weights via Next-Sequence Prediction

Hee Seung Hwang, Xindi Wu, Sanghyuk Chun, Zhiwei Deng 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 2026PrincetonVision-language models

In-Context Learning Can Help Vision Language Models Overcome Training Prior

Kun Wang, Xindi Wu, Sanghyuk Chun, Olga Russakovsky 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 2026PrincetonArizona StateMicrosoftAgent benchmarks & environments

Synthetic Tasks for Training AutoResearch

Ziyang Cai, Seyyedamirhossein Saeidi, Harkirat Singh Behl

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

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NeurIPS 2026SpotlightU CambridgePrincetonPhysics-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 2026U Wisconsin - MadisonU Tokyo / SB IntuitionsColumbiaDeepMindPrincetonAgent benchmarks & environments

DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents

Yun-Shiuan Chuang, Ruixuan Tu, Chengtao Dai, You Li 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 2026PrincetonUniversidade Federal de Minas GeAcademic medical center at StateHackensack Meridian School of MeLLM agents & planning

Can AI Agents Synthesize Scientific Conclusions?

Hayoung Jung, Pedro V Diniz, José R Roveda, Abner F da Silva 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 2026StanfordPrincetonHarvardUIUCFacebookCode 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 2026OralPrincetonSnowflakeLLM agents & planning

Soteria: Formally Verified Planning with Runtime Enforcement for Safe LLM Agents

Deyuan (Mike) He, Ankush Desai, Sharad Malik, Aarti Gupta

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

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NeurIPS 2026PrincetonMultimodal hallucination

An In-Depth Analysis of Hallucination Detection Methods for Vision-Language Models

Allison Chen, William Yang, Salma Abdel Magid, Jonathan Williams 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 2026U Electronic Science and TechnolPrincetonU California, Santa BarbaraOptimization

Hessian-Dependent Sample Complexity in Zeroth-Order Stochastic Optimization: Suboptimality of Convex-Support Sampling and Optimal Sample Complexity

Mengtian Hong, Jason Lee, Qian Yu

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

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NeurIPS 2026PrincetonNational University of SingaporeAutoML & architecture search

Understanding Randomization in Greedy Model Search

Xin Chen, Jason Klusowski, Yan Shuo Tan, Chang Yu

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

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NeurIPS 2026PrincetonCMU, Carnegie MellonCarnegie MellonColfax InternationalNVIDIAEfficient attention & state-space models

GPU Hierarchy Meets Structured Matrices: Fast Algorithms for State-Space Models

Berlin Chen, Caitlin Wang, Aakash Sunil Lahoti, Kevin Li and 7 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 Michigan - Ann ArborPrincetonU MichiganAdversarial robustness

BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting

Li Qiwei, Salma Abdel Magid, Olga Russakovsky, Eric Gilbert 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 2026TsinghuaPekingAlibaba GroupCytopicTsinghua University, TsinghuaVideo generation

Decomposed Graded Verifier for Generative World Modeling

Bowei Liu, Xinchen Zhang, Xuhuan Li, Kaian Jiang 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 2026PrincetonDepartment of Computer Science, Model-based RL

EpicWorldModel: Exploration-driven Planning with Latent World Models

Bowen Feng, Julian Ost, Zhiting Mei, Anirudha Majumdar 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 2026PrincetonU Illinois at Urbana ChampaignU Wisconsin-MadisonUIUCJailbreaks & red teaming

Measuring and Strengthening Behavioral Suppression in Language Models

Luxi (Lucy) He, Pengcheng Jiang, Jifan Zhang, Jiawei Han and 1 more

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

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NeurIPS 2026MicrosoftPrincetonU Virginia, CharlottesvilleU ChicagoInformation retrieval

Data Auctions for Retrieval Augmented Generation

Minbiao Han, Seyed A Esmaeili, Michael Albert, Haifeng Xu

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

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NeurIPS 2026PrincetonFAIR, MetaLLM pretraining & scaling laws

Strong Teacher Not Needed? On Distillation in LLM Pretraining

Taiming Lu, Zhuang Liu

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

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NeurIPS 2026Together AIJohns HopkinsPrincetonUC San Diego, Together AIQuantization

NyoomFloat12: Accelerating LLM Inference via Lossless 12-bit Weight Compression

Sylvie Liberman, Xinyu Fang, Tianyi Zhang, Tri Dao 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 2026PrincetonPhysics-informed ML & PDEs

Neural Modal Decomposition: Architectural Priors from Observables

A neural framework learns pole-residue modal decomposition from system observables alone, generalizing to unseen port counts and recovering physical eigenmodes without modal supervision.

Juho Park, Kaushik Sengupta

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

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lenient 5/5
medium 6/10
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76%Highly rated
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NeurIPS 2026UC BerkeleyPrincetonU Toronto & Vector InstituteFlatiron Institute, Simons FoundOptimization

Sharp Capacity Scaling of Spectral Optimizers in Learning Associative Memory

Spectral optimizer Muon exceeds SGD associative memory capacity, matching Newton's method with first-order updates and larger critical batch sizes.

Juno Kim, Eshaan Nichani, Denny Wu, Alberto Bietti 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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AI panel: 10 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 3/5
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NeurIPS 2026UCSBPrincetonGoogle DeepMindMila, University of MontrealU OxfordVision-language models

TokenSwap: Benchmarking and Reducing the Modality Gap in Multimodal LLMs

TokenSwap benchmarks and reduces MLLMs' modality gap by interleaving visual tokens with text, finding reasoning models have smaller gaps and training with TokenSwap mitigates it.

Andong Hua, Colton Bishop, Igor Mordatch, Arian Hosseini and 4 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: 18 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 5/5
72%Highly rated
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NeurIPS 2026PrincetonPrincetonMulti-agent RL

Self-Supervised Goal-Reaching Results in Multi-Agent Cooperation and Exploration

Self-supervised goal-reaching enables multi-agent cooperation and exploration via sparse feedback, outperforming alternatives and discovering nontrivial coordination without explicit mechanisms.

Chirayu Nimonkar, Shlok Shah, Catherine Ji, Benjamin Eysenbach

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

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AI panel: 8 of 20 reviewers recommend it
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