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ACL 2025U Notre DameU PennsylvaniaGeorgia Institute of TechnologyDartmouth CollegeMachine unlearning

Modality-Aware Neuron Pruning for Unlearning in Multimodal Large Language Models

Modality-aware neuron pruning removes target knowledge from multimodal LLMs by selectively pruning modality-specific neurons to enable precise unlearning.

Zheyuan Liu, Guangyao Dou, Xiangchi Yuan, Chunhui Zhang and 2 more

Published 2025 · 4 citations

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
medium 2/10
strict 0/5
45%Niche pick
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NeurIPS 2026U PennsylvaniaBayesian & probabilistic methods

Inference and Uncertainty Quantification for Streaming $r$-PCA

Haoshu Xu, Hongzhe Li

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

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67%Highly rated
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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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lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
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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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57%Worth a look
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NeurIPS 2026U PennsylvaniaU Pennsylvania, University of PeUPenn / AppleMolecules & drug discovery

CupOFMoCA: Coupled Objective-Guided Discrete Flows for Molecular Conjugate Assembly

Ruoxi Zhang, Ziang Li, Jiatao Gu, Pranam Chatterjee

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

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57%Worth a look
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NeurIPS 2026U PennsylvaniaU Pennsylvania, University of PeHuman-robot interaction

Scaling Neural Motor Decoding via Decoupled Behavioral Pretraining

Divyansha ., Vinam Arora, Shivashriganesh P. Mahato, Alexandre Andre 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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67%Highly rated
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NeurIPS 2026ColumbiaU PennsylvaniaBackdoors & data poisoning

Robust and Efficient Backdoor Mitigation for ML Models via Tolerant Property Testing

Xi Chen, Anindya De, Rocco A Servedio

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

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lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
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NeurIPS 2026U PennsylvaniaU Pennsylvania, University of PeFeature attribution

Position-aware eXplanation: A Model-Agnostic Framework for Positional Attributions

Chaehyeon Kim, Gary Weissman, Eric Wong

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

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NeurIPS 2026U PennsylvaniaAalto University / IIT BombayMIT —> Aalto University/YaiYaGraph generation

Exact Topological Compliance: Generating Persistence-Equivalent Graphs

Mattie Ji, Indradyumna Roy, Vikas Garg

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

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57%Worth a look
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NeurIPS 2026Department of Computer Science aU PennsylvaniaU Pennsylvania, University of PeThe Chinese University of Hong KMolecules & drug discovery

AlloGen: Conformation-Selective Binder Design with Differential State Scoring

Hanqun Cao, Aastha Pal, Sumi Kimura, Yesol Kim 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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medium 0/10
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NeurIPS 2026U PennsylvaniaDuke University, DukeU Pennsylvania, University of PeU Illinois at Urbana-ChampaignAudio understanding

What Sound Tells You About the Room

Yiduo Hao, Yiwei Tang, Jiayang Li, Zitong Lan and 3 more

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

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57%Worth a look
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NeurIPS 2026U PennsylvaniaU PennsylvanniaAdversarial robustness

Reliable Abstention under Adversarial Injections: Lower Bounds and New Upper Bounds

Ezra Edelman, Surbhi Goel

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

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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026U PennsylvaniaRepresentation & contrastive learning

Position: The Road to Generalizable Neuro-Symbolic Learning Should be Paved with Foundation Models

Adam Stein, Aaditya Naik, Neelay Velingker, Mayur Naik 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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lenient 1/5
medium 0/10
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45%Niche pick
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NeurIPS 2026U PennsylvaniaMITCornellU PennsylvanniaHuman-AI interaction

Narrowing the Collaboration Gap, Probably

Mirah Shi, Marcel Hussing, Natalie Collina, Ira Globus-Harris 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 2026Massachusetts Institute of TechnU PennsylvaniaMechanistic interpretability

Transfer Entropy as a Measure of Information Flow in VLMs and LLMs

Jessica E Liang, Jianbo Shi

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

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57%Worth a look
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NeurIPS 2026U PennsylvaniaU TorontoDatasets & benchmarks

Ground False: Uncovering Errors in Formal Mathematics Benchmarks

Marcus Min, One An, Xujie Si, Osbert Bastani

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

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AI panel: 1 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 1/5
86%Must read
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NeurIPS 2026AWSU PennsylvaniaCarnegie MellonLLM agents & planning

What Fits (Into Few Tokens) Doesn't Overfit: Compression and Generalization in ML Research Agents

LLM research agents find high-performance models via compressed prompts and feedback, supporting a description-length explanation for limited overfitting.

Martin Bertran, Aaron Roth, Steven Wu

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5
78%Highly rated
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NeurIPS 2026The Wharton School, University oWharton School, University of PeU PennsylvaniaBandits & online learning

Learning to target with network interference

Adaptive targeting under sparse network interference achieves near-optimal regret depending on structural knowledge, proving standard linear bandits are inefficient and offering practical algorithms.

Xiaomeng Wang, Hamsa Bastani, Osbert Bastani, Zhimei Ren

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 1/5
74%Highly rated
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NeurIPS 2026Rey Juan CarlosEPFL - EPF LausanneEPFLU PennsylvaniaGraph generation

DiPhon: Diffusion on Graphons for Scalable Graph Generation

DiPhon defines graphon diffusion via a Jacobi SDE for scalable graph generation, matching first moments exactly and preserving topology across sizes without retraining.

Sergio Rozada, Yiming QIN, Manuel Madeira, Pascal Frossard 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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9/20 AI panelreviewers recommend it

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5
76%Highly rated
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NeurIPS 2026U Pennsylvania, University of PeU PennsylvaniaRepresentation & contrastive learning

Invertible Logits Transformation for Accuracy-Preserving Post-Hoc Uncertainty Calibration

InvLT calibrates uncertainties by applying a shared monotonic scalar MLP to logits, preserving predictions independent of class count and outperforming baselines on standard benchmarks.

Lening Zhao, Qipeng Zhan, Li Shen

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

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
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