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NeurIPS 2026FudanNVIDIAUC Berkeley, University of CalifRL for LLMs

Large Discrete Policy: Advancing Explicit Behavior Modeling with Stochastic Iterative Scoring

Zhenxin Li, Nadine Chang, Xinglong Sun, Jingde Chen and 7 more

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

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NeurIPS 2026AdelaideNVIDIAGoogleU AdelaideU SurreyData curation

GradTrack: Detecting Noisy Labels via Temporal Trajectories of Class-wise Gradient Misalignment

Townim Faisal Chowdhury, Ta Duc Huy, Hieu Phan, Anton van den Hengel 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 PennsylvaniaNVIDIA3D vision & reconstruction

Point Clustering Encoders

Evangelos Chatzipantazis, Guillem Brasó, Cristiano Saltori, Sérgio Agostinho 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 2026MicrosoftAdvanced Micro DevicesU ChicagoMBZUAINVIDIAEfficient inference & serving

The $1/\mathcal{W}$ Law: Context Length is the Dominant Energy Lever in LLM Inference Fleets

Huamin Chen, Xunzhuo Liu, Yuhan Liu, Junchen Jiang 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 2026TongjiShanghai Jiao TongNVIDIAExploration

Value-Priced Uncertainty: A Family of PPO-Compatible Exploration Bonuses

qili shen, Xuanhong Chen, Ang He, Dake Zhang 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 2026National Tsing HuaKarolinska Institute StockholmNVIDIAVideo understanding

TTVidT: Decoupling the Temporal Axis for Efficient Motion-Centric Video Pretraining

Shih-Ying Yeh, Daniel Z Kaplan, Xuehai Wang, Fu-En Yang 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 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 2026Zillow GroupU WashingtonNVIDIAThe University of Washington3D vision & reconstruction

MvFFN: Multi-view Floor-Plan Feed-Forward Network for Unposed Wide-Baseline Panorama Layout Reconstruction

Yuguang Li, Yichuan (Ethan) Deng, Zixuan Liu, Ivaylo Boyadzhiev and 4 more

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

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NeurIPS 2026Caltech/GatechDelft University of TechnologyCaltechIndian Institute of Technology KWashington University in St. LouMedical imaging

Coarse-to-Fine 3D MRI Reconstruction via Resolution-Agnostic Neural Operators

Jiayun (Peter) Wang, Ruibo Wang, Valentin Duruisseaux, Ram Daftari and 4 more

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

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NeurIPS 2026U Maryland, College ParkNVIDIASoftware engineering agents

Structured Human-Like Agentic Flow for RTL Design

Yu-Tung Liu, Zhan Song, Chenhui Deng, Chia-Tung Ho and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026U California, Los AngelesNVIDIAHuazhong University of Science aNational University of SingaporeJailbreaks & red teaming

MetaPI: Constructing Prompt Injection Benchmarks from Any Agent Benchmarks

Peiran Wang, Chong Xiang, Wenjie Qu, Ying Li and 3 more

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

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NeurIPS 2026NorthwesternTiktokU ChicagoUC BerkeleyNVIDIAMulti-agent RL

Is Decentralized LLM Agent RL Robust to Heterogeneity? An Asymmetric Tale

Canyu Chen, Kangyu Zhu, Zhaorun Chen, Zhanhui Zhou 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 2026Technical University of MunichTechnische Universität MünchenImperial College LondonU OxfordInstitute of Computer Science, LAgent benchmarks & environments

MedFlowBench: Auditing Medical Agents in Full-Study Workflows

Weixiang Shen, Chengzhi Shen, Che Liu, Junde Wu and 10 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 RochesterNVIDIAU. RochesterLLM agents & planning

Agentic Video Editing from Underspecified Requests

Yongsheng Yu, Ziyun Zeng, Zhiyuan Xiao, Zhenghong Zhou and 3 more

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

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NeurIPS 2026NVIDIAnvidiaNVIDIA CorporationSanta ClaraAutonomous driving

From Detection to Understanding — A Multi-Task Dataset for Traffic Anomaly Reasoning

Han Zhang, yilin zhao, Zaid P Bhat, Zheng (Thomas) Tang and 4 more

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

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NeurIPS 2026OralThe University of EdinburghU OxfordNVIDIAU EdinburghEdinburgh University, University3D vision & reconstruction

They Can See It but not Say It: Iterative Self Knowledge Re-expression in Visual Reasoning Relative Pose Identification

MENGYU WANG, Ken Deng, Yftah Ziser, Shay Cohen 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 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 2026National TaiwanNVIDIA3D vision & reconstruction

HIST3R: Rectified State Decomposition from History for Streaming 3D Reconstruction

Kenneth Yang, Frank Wang

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

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NeurIPS 2026NVIDIAHKUSTNvidia IncNVIDIA ResearchUnified multimodal models

Full-Duplex Speech-Motion Model for Dyadic Interaction

Koki Nagano, Hongyu Liu, Wookie Park, Tianye 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 2026UC LouvainNVIDIANational University of SingaporeUCLAKTH Royal Institute of TechnologML systems & compilers

Speeding up Log-Sum-Exp: Kernel Fusion at the Memory Wall, Integer Arithmetic at the Compute Wall

Lingyun Yao, Martin Andraud, Niki Loppi, Andrea Pilzer 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 2026Indian Institute of Technology, NVIDIAIndian Institute of Technology DSpatio-temporal forecasting

AQBENCH: Benchmarking Neural Surrogates for Air Quality Forecasting

Siddharthan Dileep, Sanchit Bedi, Pareshbhai D Parmar, Ayush Maheshwari 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 2026SpotlightNew YorkAmazon Web ServicesDepartment of Computer Science, AmazonNVIDIAAI oversight & deception

nnTrace: Detecting and Localizing Silent Bugs in Distributed Training

Haitian Jiang, Shaowei Zhu, Zhen Zhang, Zhenyu Song and 4 more

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

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NeurIPS 2026U ChicagoU Southern CaliforniaU California RiversideNVIDIAU TorontoLLM evaluation & benchmarks

Precise Debugging Benchmark: Is Your Model Debugging or Regenerating?

Miaosen Chai, Wang Bill Zhu, Shangshang Wang, Yejia Liu 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 2026NVIDIATechnionMulti-agent RL

Split-RL: Local Conflict Resolution in Reinforcement Learning

Benjamin Fuhrer, Chen Tessler, Gal Dalal

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

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NeurIPS 2026U California, Los AngelesNVIDIANVIDIA ResearchDiffusion models

SCULPT: Advancing Masked Discrete Diffusion for High-Resolution Image Synthesis.

Shufan Li, Greg Heinrich, Hanrong Ye, Yonggan Fu and 3 more

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

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NeurIPS 2026U Wisconsin-MadisonU Wisconsin - MadisonKoreaNVIDIAUW-MadisonDeep learning theory

Fast Sandwich Products in Clifford Algebra

Travis Pence, Daisuke Yamada, Jiaqi Mo, Chanyoung Moon 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 2026Pennsylvania StateMohamed bin Zayed University of NVIDIAOregon StateMathGPTProLLM agents & planning

Who&When Pro: Can LLMs Really Attribute Failures in AI Agents?

Jiale Liu, Huajun Xi, Shaokun Zhang, Yifan Zeng and 5 more

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

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NeurIPS 2026KAIST / MetaNVIDIAKAIST, AITRICSLLM agents & planning

Agent Explorative Policy Optimization for Agentic Multimodal Reasoning

Minki Kang, Shizhe Diao, Ryo Hachiuma, Sung Ju Hwang 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 2026SpotlightNYCU / NVIDIANVIDIANational Yang Ming Chiao Tung3D vision & reconstruction

TTB: Test-time MLP Baking for Efficient Rendering of Decoder-only View Synthesis Models

Chin-Yang Lin, Ryo Hachiuma, Jaesung Choe, Min-Hung Chen and 5 more

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

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NeurIPS 2026Massachusetts Institute of TechnNVIDIANvidiaNew YorkJailbreaks & red teaming

MLLMs Fail to Refuse when Using Tools Agentically

Rikiya Takehi, Ryo Hachiuma, Shaona Ghosh, Dan Zhao and 2 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026

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NeurIPS 2026NVIDIAAI oversight & deception

Can VLMs Reason When to Stop for Human Safety?

Ryo Hachiuma, Arun G Zachariah, Barnaby Simkin, Jibin Varghese and 4 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 TorontoHarvardMicrosoft Research New EnglandCMU, Carnegie MellonU LjubljanaDiffusion models

Test-time Scaling of Diffusions with Flow Maps

Flow Map Trajectory Tilting uses flow maps to enable principled diffusion test-time scaling with reward gradients, improving reward ascent and enabling complex image editing via vision-language models.

Amirmojtaba Sabour, Michael Albergo, Carles Domingo i Enrich, Nicholas Boffi and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 6 on Hugging Face

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lenient 3/5
medium 5/10
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91%Must read
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NeurIPS 2026U California, BerkeleyRiceNVIDIAAlignment & preference optimization

Response Time Enhances Alignment with Heterogeneous Preferences

Adding response times to preference data via drift-diffusion modeling restores identifiability of average preferences among anonymous heterogeneous labelers, correcting choice-only estimation bias without tracking users.

Federico Echenique, Alireza Fallah, Baihe Huang, Michael Jordan

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

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lenient 5/5
medium 9/10
strict 3/5
83%Must read
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NeurIPS 2026NVIDIAStanfordLong-context modeling

Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention

Gated DeltaNet-2 decouples erase and write with channel-wise gates to improve linear attention, achieving top performance among recurrent and hybrid models at 1.3B scale with strong long-context retrieval.

Ali Hatamizadeh, Yejin Choi, Jan Kautz

Atlanta Poster Session 1, Wed, Dec 9, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 30 on Hugging Face · Code ★ 326

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AI panel: 13 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 1/5
80%Must read
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NeurIPS 2026PrincetonDepartment of Computer Science, U TorontoNVIDIAVideo generation

Addressable Memory for Video World Models

Interactive video world models lose visual persistence beyond training horizons because temporal RoPE offsets become out-of-distribution; WorldTrace assigns compressed memory slots virtual in-distribution positions to restore addressability, boosting temporal consistency by 15.5% and episodic recall

Xindi Wu, Sven Elflein, James Lucas, Olga Russakovsky and 4 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 16 on Hugging Face

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lenient 4/5
medium 8/10
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NeurIPS 2026MITMIT CSAILFacebookNVIDIARobot manipulation

RigidFormer: Learning Rigid Dynamics using Transformers

RigidFormer is a transformer that learns mesh-free rigid-body dynamics via object-level anchors and differentiable Kabsch projection, outperforming mesh-based baselines with faster inference and scalability to 200+ objects.

Zhiyang Dou, Minghao Guo, Haixu Wu, Doug Roble and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 93

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AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 1/5
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NeurIPS 2026NVIDIANational TaiwanYuan ZeAltai StateAcademia SinicaSpeech enhancement

Rethinking Training Targets, Architectures and Data Quality for Universal Speech Enhancement

Time-shifted anechoic targets, a two-stage distortion-perception framework, and curated data improve universal speech enhancement and achieve state-of-the-art results.

Szu-Wei Fu, Rong Chao, Xuesong Yang, Sung-Feng Huang and 5 more

Sydney Poster Session 5, Thu, Dec 10, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 8 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
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71%Highly rated
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NeurIPS 2026YonseiNVIDIAYonsei University / Facebook3D vision & reconstruction

RelationVGGT : Visual Geometry Transformers for 3D Spatial Relation Segmentation

RelationVGGT enables feed-forward 3D spatial relation segmentation across multi-view images without camera poses or category names by combining visual semantics with geometry-aware representations via a relation transformer.

Minsu Kim, Jaesung Choe, Jiwoo Lee, Frank Wang 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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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
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NeurIPS 2026INRIASAP SEU FreiburgTechnionTechnion, Israel Institute of TeTabular data

STRABLE: Benchmarking Tabular Machine Learning with Strings

STRABLE introduces 108 real-world string-and-number tables and benchmarks 445 pipelines, finding simple embeddings with advanced learners suffice for categorical tables while LLMs help on free-text tables.

Gioia Blayer, Myung Jun Kim, Félix Lefebvre, Lennart Purucker and 7 more

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

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lenient 5/5
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NeurIPS 2026SpotlightTechnionTechnion - Israel Institute of TElectrical Engineering DepartmenNvidiaINRIAUnified multimodal models

MulTaBench: Benchmarking Multimodal Tabular Learning with Text and Image

MulTaBench benchmarks 40 multimodal tabular datasets and shows target-aware tuning of text and image embeddings improves predictive performance over frozen embeddings.

Alan Arazi, Eilam Shapira, Shoham Grunblat, Mor Ventura and 7 more

Paris Poster Session 5, Fri, Dec 11, 11:30 AM–1:30 PM, Paris Poster Hall · Published 2026 · ▲ 142 on Hugging Face

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AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 2/5
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