Good Papers

Showing papers from Yale University Show all papers

88%Must read
?Must readVote to see the score
ICLR 2026U Illinois Urbana-ChampaignGoogleYaleAgent memory

ReasoningBank: Scaling Agent Self-Evolving with Reasoning Memory

ReasoningBank distills reasoning strategies from agent successes and failures into a retrievable memory bank that improves over time, with memory-aware test-time scaling amplifying gains across web and software benchmarks.

Siru Ouyang, Yan, Jun, I-Hung Hsu, Yanfei Chen and 13 more

Published Sep 29, 2025 · 0 citations · ▲ 15 on Hugging Face

– ReadersNo votes yet. 1 from authors or colleagues not counted
15/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 15 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 1/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026OralUniversitys of WaterlooU WaterlooStanfordYaleSemi- & 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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026ColumbiaSailpointYaleEfficient attention & state-space models

Nearly Optimal Attention Coresets

Alexandr Andoni, Eldar Kleiner, Edo Liberty

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026YaleThe Chinese University of Hong KEfficient attention & state-space models

Make Each Token Count: Towards Improving Long-Context Performance with KV Cache Eviction

Ngoc Bui, Trung Hieu Nguyen, Arman Cohan, Rex Ying

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · Code ★ 21

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleStanfordLLM 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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleGoogleGoogle ResearchLLM reasoning & chain of thought

Programmatic Reasoning with Structural Schema: A Unified Framework for Multi-Table Inference

Jialin Chen, Brandon Mayer, Michael Galkin, Sami Abu-El-Haija and 2 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleLearning theory

Bounds on Extrapolation across Phase Transitions with Generalized Regression

Jeffrey Wei, Manolis Zampetakis, John Sous

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleEberhard-Karls-Universität TübinIEHarvardMechanistic interpretability

Reading Positional Coupling in Transformers with Diffusion Scores

Savik Kinger, Johannes Bertram, Luciano Dyballa, Andy Keller and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026YaleOpenAIGoogleGoogle, TUM3D vision & reconstruction

Extending 3D Reconstruction Models to Any Camera

Ruxiao Duan, Yunwen (Verse) Zhou, Erin Hong, Dongxu Zhao and 3 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U AmsterdamWestlakeUtrechtTencentYaleVision-language models

Geometry is an Operator: Lie-Algebraic Space Routing for View-Robust 3D MLLMs

Jingjun Yi, Chen Hu, Qi Bi, Hao Zheng and 6 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026National University of SingaporeDepartment of Computer Science aNanjingXi'an University of Posts aInstitute of Automation, ChineseMolecules & 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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleThe Hong Kong University of ScieYaleVideo-language models

Static-Dynamic Disentanglement for Efficient Multi-Frame Vision-Language-Action Models

Weikang Qiu, Huashuo Lei, Tinglin Huang, Aosong Feng and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U California - Los AngelesU California, Los AngelesYaleMax Planck Institute for SoftwarMulti-agent LLM systems

Youdunit: Single-Call Counterfactual Necessity in Multi-Agent LLM Systems

Marissa Li, Stephanie Gao, Kenny Guo, Xingjian Li and 2 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleNational University of SingaporeYale University & Cisco FounAutoregressive generation

Demystifying Classifier-Free Guidance for Auto-Regressive Image Generation

Zhiling Zhou, Jiachun Pan, Fengzhuo Zhang, Dirk Bergemann and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
69%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026National University of SingaporeYalenational university of singaore,Yale University & Cisco FounAlignment & preference optimization

Rethinking "RL Generalizes, SFT Memorizes": The Role of SFT Data

Yunlong Hou, Fengzhuo Zhang, Yuan Cheng, Jiachun Pan and 2 more

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

– ReadersNo votes yet
3/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 3 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 1/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleLearning theory

Agnostic Online Learning with Reliable Abstention

Omar Montasser

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026SpotlightSouthern Methodist University, SNortheasternMLCommonsThe University of Texas at DallaPurdueDatasets & benchmarks

OTel: Open Telco AI Datasets, Benchmarks, and Models

Farbod Tavakkoli, Gregory Diamos, Kenneth Church, David Kanter and 14 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleCold Spring Harbor LaboratoryProbing & representation analysis

Learning Interpretable Switching Dynamics in Shared Neural-Behavioral Latent Space

Yongxu Zhang, Josue Ortega Caro, Rachel L Oren, Michael J Higley and 3 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleU Virginia, CharlottesvilleImage recognition

Revisiting The Power of Closed-Form: Robust Deep Image Prototype Discovery via Scale Mixtures

Zhikang Xu, Jiarui Xing, Jian Wang

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026YaleThe Chinese University of Hong KGraph transformers

Busemannformer: Horospherical Self-Attention for Hyperbolic Graph Transformers

Youheng Yao, Ziyao Zeng, Wenbo Liao, Tianqi Wang

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026UC BerkeleyYaleUncertainty & calibration

Long-Term Risks of Risk-Based Allocation

Jivat Neet Kaur, Jane Lee, Manolis Zampetakis

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026National University of Singaporenational university of singaore,YaleVision-language models

SP$^2$ec: Adaptive Self-Speculative Decoding for Vision-Language Models

Yuqi Huang, Xingyao Li, Yunlong Hou, Fengzhuo Zhang and 2 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026Johns HopkinsYaleFairness & bias

Characterizing Underrepresentation in Generalizing Causal Survival Estimates

Bolun Liu, Sean McGrath, Yiren Hou, Elizabeth Stuart and 1 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026FudanYaleDomain adaptation

Class-Domain Incremental Learning with Extensible Multi-Center Modeling

Xuetong Yang, Yuxiang Yan, Zhiyuan Zhou, Xin Gao and 2 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U Michigan - Ann ArborStanford / UT-AustinOhio State University, ColumbusStanfordMassachusetts Institute of TechnLLM agents & planning

Agent-Native Research Artifacts

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si and 33 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026U California, IrvineComputer Science and EngineeringYaleUCIGenomics & single-cell

sMMC-22M: A Context-Aware Dataset and Benchmark for Single-Cell Spatial Transcriptomics

Xi Li, Yaqi Hu, Ziheng Duan, Xinyi Wang and 4 more

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

– ReadersNo votes yet
2/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026U Southern CaliforniaYaleOptimization

Accelerated last-iterate convergence of Extragradient via power-law stepsizes

Yue Wu, Weiqiang Zheng, Yang Cai, Haipeng Luo

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
?Niche pickVote to see the score
NeurIPS 2026ETH ZürichMassachusetts Institute of TechnKU LeuvenMITTechnion - Israel Institute of TTime series foundation models

PhyTS: A Benchmark for Scientific Time Series

Benedict Armstrong, Jeroen Audenaert, Hannah P Binney, Alice Cheng and 22 more

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

– ReadersNo votes yet
0/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026U Texas Health Science Center atU Alabama at BirminghamU PittsburghThe University of Texas MD AnderU Dublin, Trinity CollegeBrain imaging & connectomics

BrainTRACE: Tracing Longitudinal, Multimodal, and Volumetric Evidence in Brain MRI Clinical Reasoning

Qizhen Lan, Mengchen Fan, Hang Zhang, Jingwei Duan and 4 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
?Worth a lookVote to see the score
NeurIPS 2026Northeastern University, Broad INortheasternYaleMicrosoft Research New EnglandLLM agents & planning

DrugSAGE: Self-evolving Agent Experience for Efficient State-of-the-Art Drug Discovery

Yikun Zhang, Xiwei Cheng, Tianyu Liu, Yuanqi Du and 1 more

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

– ReadersNo votes yet
1/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026National University of SingaporeYaleVirginia Polytechnic Institute aYale University & Cisco FounLLM pretraining & scaling laws

Why Muon Outperforms Adam: A Curvature Perspective

Muon achieves larger one-step loss decreases than Adam via lower curvature penalties driven by reduced normalized directional sharpness rather than update scale, with advantages amplified by data imbalance and within-layer curvature.

Shuche Wang, Fengzhuo Zhang, Jiaxiang Li, Dirk Bergemann and 1 more

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

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 2/5
72%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026AppleYalePrivacy

Understanding Private Evolution as Learning-Augmented Clustering

Private Evolution is recast as learning-augmented clustering to derive tighter bounds via generative models and propose a geometry-aware variant with convergence guarantees.

Audra McMillan, Kunal Talwar, Felix Zhou

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

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 2/5
medium 5/10
strict 1/5
91%Must read
?Must readVote to see the score
NeurIPS 2026The University of Hong KongImmunocan BiotechPekingInternational Digital Economy AcInternational Digital Economy AcMolecules & drug discovery

Pushing Biomolecular Utility-Diversity Frontiers with Supergroup Relative Policy Optimization

SGRPO directly rewards set-level diversity via leave-one-out contributions in a flexible GRPO framework, expanding the utility-diversity Pareto frontier across biomolecular design tasks.

Xinwu Ye, He CAO, Li Hao, Bin Feng and 4 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 3

– ReadersNo votes yet
17/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
80%Must read
?Must readVote to see the score
NeurIPS 2026Louisiana State UniversityU California, Los AngelesUCLAYaleAdversarial robustness

Test-Time Defense Against Adversarial Attacks via Stochastic Resonance of Latent Ensembles

A training-free test-time defense uses stochastic resonance of latent ensembles via input translations to recover up to 68.1% of adversarial accuracy loss on classification and dense prediction tasks.

DONG LAO, Yuxiang Zhang, Haniyeh E Oskouie, Yangchao Wu and 2 more

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

– ReadersNo votes yet
12/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 12 of 20 reviewers recommend it
lenient 4/5
medium 8/10
strict 0/5
72%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026GenentechYaleFlow matching

When Riemann flows with Wasserstein: Generative Modeling of Probability Distributions on Manifolds

RWEFM generatively models meta-distributions on manifolds via Riemannian Wasserstein flow matching, yielding valid flows and efficient GPU-optimal transport approximations for non-Euclidean data.

Doron Haviv, Edward De Brouwer, Rishabh Anand, Rex Ying and 2 more

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

– ReadersNo votes yet
8/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 8 of 20 reviewers recommend it
lenient 3/5
medium 4/10
strict 1/5
76%Highly rated
?Highly ratedVote to see the score
NeurIPS 2026YaleDeep learning theory

Decoupled Descent: Exact Test Error Tracking Via Approximate Message Passing

Decoupled descent cancels data-reuse biases via approximate message passing so training error tracks test error, enabling zero-cost validation and shrinking the generalization gap versus gradient descent.

Max Lovig

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

– ReadersNo votes yet
10/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 1/5
91%Must read
?Must readVote to see the score
NeurIPS 2026YaleStanfordU ChicagoU Chicago Booth School of BusineToyota Technological Institute aLLM reasoning & chain of thought

INFUSER: Influence-Guided Self-Evolution Improves Reasoning

INFUSER co-evolves a question generator and solver via influence-guided rewards, improving reasoning by over 20% on math benchmarks without curated data.

Siyu Chen, Miao Lu, Beining Wu, Heejune Sheen and 6 more

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

– ReadersNo votes yet
17/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 17 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 3/5
89%Must read
?Must readVote to see the score
NeurIPS 2026U California, Santa BarbaraJohns HopkinsThe Chinese University of Hong KNUS, CMUU Southern CaliforniaAgent memory

WorldMemArena: Evaluating Multimodal Agent Memory Through Action–World Interaction

WorldMemArena evaluates multimodal agent memory through an action-world loop, showing writing and storage improvements do not guarantee performance and harness-based memory remains costly and unreliable.

Chengzhi Liu, Yuzhe YANG, Sophia Xiao Pu, Yepeng Liu and 15 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 29

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
83%Must read
?Must readVote to see the score
NeurIPS 2026NanjingYaleHuman-AI interaction

Path Dependence under Adaptive AI Delegation

Adaptive AI delegation couples error-driven skill decay with performance-driven reliance, producing path-dependent bistability where stronger AI can enlarge the low-skill basin and cause long-run performance below no-AI baselines.

Lingxiao Huang, Nisheeth K. Vishnoi

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

– ReadersNo votes yet
13/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 2/5
89%Must read
?Must readVote to see the score
NeurIPS 2026YaleU California, BerkeleyBloombergRutgersAgent benchmarks & environments

PieArena: Ranking and Profiling Language Agents in Realistic Negotiation Scenarios

PieArena benchmarks LLM negotiation via multi-agent MBA scenarios, ranking agents with order-invariant payoffs and finding GPT-5 matches trained human baselines while profiling cross-model behavioral heterogeneity.

Chris Zhu, Sasha Cui, Will S Dufallo, Runzhi Jin and 3 more

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

– ReadersNo votes yet
16/20 AI panelreviewers recommend it

Readers and the AI panel: vote on this paper to see what they said.

Only vote on papers you've read. Sign in with GitHub to vote.

AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 4/5
Show 20 more papers