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arXivU WaterlooDukeNational University of SingaporeLLM agents & planning

X-Tree: Tokenizing Reusable Experience for Efficient Agent Generalization

X-Tree learns reusable hierarchical skills from agent trajectories and improves success rates up to 5.8% across web and science benchmarks.

Sitao Cheng, Xunjian Yin, Zhiyuan Sun, Yuxuan Li and 3 more

Published Sep 26, 2026 · 0 citations · ▲ 76 on Hugging Face · Code ★ 2

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
45%Niche pick
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NeurIPS 2026GoogleGoogle ResearchDukeControllable generation

Sample-Efficient Optimization over Generative Priors via Coarse Learnability

Pranjal Awasthi, Sreenivas Gollapudi, Ravi Kumar, Kamesh Munagala

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

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NeurIPS 2026DukeBayesian & probabilistic methods

Extending ROC Analysis to Uncertainty-Aware Risk Prediction with an Interval-Based AUC (iAUC)

Yuqi Li, Matthew Engelhard

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

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NeurIPS 2026ZhejiangTsinghua University, TsinghuaDukeXtalpi Inc.Adversarial robustness

FocusVLA: Hijacking Attention to Break Visual Token Pruning in Vision-Language-Action Models

Yanhui Li, Qianpu Sun, Qi Zhou, Chenru Jiang 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 2026DukeDuke University / KAUSTGenomics & single-cell

Learning Biological Hierarchies in Single-Cell Foundation Models

Xiangyu Guo, Ricardo Henao

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

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NeurIPS 2026NorthwesternUniversity College London, UniveDukeExploration

The Type Theory of Stationary MDPs: Rare Events and Uncertainty Quantification

Imon Banerjee, Sayak Chakrabarty, Ramkrishna Jyoti Samanta, Riddhiman Bhattacharya

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

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NeurIPS 2026Duke University, DukeDukeFlow matching

Co-Evolving Interpolants and Flows via Path-Flow Alignment

Zeyu M Li, William X Chen, Xiang Cheng

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

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NeurIPS 2026DukeAmazonNew YorkGeorgia Institute of TechnologyAmazon AGI LabsWeb & GUI agents

Beyond Task Success: Probing Cognitive Primitives in Web Agents

Xunjian Yin, Tianchen Guan, Jinao Wang, Weili Cao 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 2026DukeU North Carolina at Chapel HillDukeExplainable AI

Diverse Representative Rashomon Sets for Sparse Generalized Additive Models

Varun Babbar, Christopher Li, Chudi Zhong, Cynthia Rudin

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

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NeurIPS 2026SpotlightDukeDukeDeep learning theory

What the Geometry of Good Models Tells Us

Alexis Fox, Samuel Orellana Mateo, Krish Yadav, Yiyang Sun and 2 more

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

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NeurIPS 2026Department of Computer Science, North Carolina StateDukeDynamic graphs

Efficient Algorithms For Fully Dynamic Bipartite Matching In Metric Spaces

Pankaj Agarwal, Oliver Chubet, Sharath Raghvendra, Arian Zamani

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

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57%Worth a look
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NeurIPS 2026DukeIndependent ResearcherMetaMeta IncRecommender systems

MARS: Multi-resolution Adaptive Routing for Sequential Recommendation

Ming Yin, Sixun Dong, Yudong Liu, Wenyun Yang 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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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 2026ZhejiangSun Yat-sen University Cancer CeMonashHong Kong PolytechnicInfiX.aiMedical LLMs

NPCBench: A Clinical Apprenticeship Benchmark for Guideline-Constrained Care-Pathway Reasoning in Nasopharyngeal Carcinoma

Pengkai Wang, Wei-Wei Zhang, Yan Li, Min Tang and 12 more

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 1/5
medium 0/10
strict 0/5
57%Worth a look
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NeurIPS 2026AmazonAmazon RoboticsDukeOffline RL

A$^2$IQL: Adaptive Asymmetric Implicit Q Learning for Automated Warehouse Consolidation

Guangyi Liu, Andrea Angiuli, Mirko Ristivojevic, Joseph W Durham and 2 more

Atlanta Poster Session 1, Wed, Dec 9, 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
76%Highly rated
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NeurIPS 2026DukeDiffusion models

Multilevel and Sequential Monte Carlo for Training-Free Diffusion Guidance

A sequential Monte Carlo framework with multilevel variance reduction provides unbiased diffusion guidance, achieving state-of-the-art training-free conditional generation with lower cost.

Aidan Gleich, Scott C Schmidler

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

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AI panel: 10 of 20 reviewers recommend it
lenient 2/5
medium 7/10
strict 1/5
72%Highly rated
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NeurIPS 2026TsinghuaThe Chinese University of Hong KHong Kong University of Science DukeImage restoration

PRISM: Rethinking Atmospheric Scattering Reconstruction as a Unified Understanding and Restoration Model for Real-world Dehazing

PRISM proposes a unified physically structured framework for real-world dehazing via proximal scattering atmosphere reconstruction, online non-uniform haze synthesis, and selective self-distillation adaptation to achieve competitive restoration results.

Chengyu Fang, Chunming He, Yuelin Zhang, Chubin Chen 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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8/20 AI panelreviewers recommend it

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AI panel: 8 of 20 reviewers recommend it
lenient 5/5
medium 3/10
strict 0/5
76%Highly rated
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NeurIPS 2026U California, San DiegoSamsung Research AmericaDukeUCSDVision-language models

AMPS: Adaptive Modality Preference Steering via Functional Entropy

AMPS uses instance-aware functional entropy to adaptively steer multimodal model modality preferences, improving control while minimizing inference errors.

Zihan Huang, Xintong Li, Rohan Surana, Tong Yu and 4 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 0/5
78%Highly rated
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NeurIPS 2026DukeDepartment of Electrical EngineeYale University & Cisco FounRL for LLMs

Learning in Context, Guided by Choice: A Reward-Free Paradigm for Reinforcement Learning with Transformers

In-context preference-based RL trains transformers solely on preference feedback, achieving reward-free in-context generalization comparable to fully supervised methods.

Juncheng Dong, Moyang Guo, Bowen He, Ethan Fang and 2 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 0/5
78%Highly rated
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NeurIPS 2026North Carolina StateU Texas at ArlingtonU Alabama, BirminghamUniJohns HopkinsDukeMultimodal reasoning

Leveraging Latent Visual Reasoning in Silence

Latent visual reasoning enhances multimodal training despite being largely unused at inference; attention-based reinforcement learning preserves its benefits by promoting latent-text interaction during training.

Dongyao Zhu, Zhen Wang, Xi Xiao, Han Jiang and 6 more

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

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 6/10
strict 1/5
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