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arXivU Washington Massachusetts Institute of Techn Long-context modeling

Context Language Models

Context language models treat context as self-modified files to learn context management, outperforming external strategies with lower compute and enabling in-context and parametric learning of management strategies.

Rulin Shao, Shannon Zejiang Shen, Junjie Oscar Yin, Yuetai Li and 9 more

Published Sep 29, 2026 · 0 citations · ▲ 45 on Hugging Face · Code ★ 617

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arXivU Washington Microsoft Offline RL

JumpStart Your Policy Learning with Lessons from 160,000 Training Runs

A 160,000-run study of offline policy learning finds no universal best algorithm, shows tuning and benchmark choice alter rankings, and releases resources with a dataset-conditioned recommender.

Nabil Omi, Eric Bae, Chung Yik Edward Yeung, Siddhartha Sen and 1 more

Published Sep 12, 2026 · 0 citations · ▲ 1 on Hugging Face · Code

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EMNLPFindingsU Virginia Netflix Microsoft U Washington LLM reasoning & chain of thought

TeacherGRPO: Closing the Capacity Gap in Reasoning Distillation via Teacher Alignment

TeacherGRPO aligns teachers to student distributions via reinforcement learning to overcome reasoning distillation's Gap Curse and improves student performance.

Zhenyu Lei, Zihan Chen, Yaochen Zhu, Shangbin Feng and 4 more

Published Aug 20, 2026 · 0 citations

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arXivU California San Diego Johns Hopkins U Washington U Illinois Urbana-Champaign Embodied agents

AgentSpec: Understanding Embodied Agent Scaffolds Through Controlled Composition

AgentSpec modularizes embodied LLM agents into composable components, showing performance depends on scaffold compatibility and interaction effects rather than isolated module strength.

Jixuan Chen, Jianzhi Shen, Haoqiang Kang, Zhi Hong and 9 more

Published Jun 12, 2026 · 0 citations

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arXivU Washington Stanford LLM pretraining & scaling laws

Scaling Participation in Modular AI Systems

Modular participatory AI combines small stakeholder-trained models into compositional systems that outperform monolithic LLMs by up to 15.4% and exhibit emergent collaborative capabilities.

Shangbin Feng, Yike Wang, Weijia Shi, Luke Zettlemoyer and 2 more

Published Jun 5, 2026 · 0 citations

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arXivU Washington Texas A&M U Notre Dame U Virginia New York LLM evaluation & benchmarks

MoCo: A One-Stop Shop for Model Collaboration Research

MoCo unifies 26 model collaboration methods and 25 benchmarks to show collaboration outperforms single models in 61% of settings by up to 25.8%.

Shangbin Feng, Yuyang Bai, Ziyuan Yang, Yike Wang and 16 more

Published Jan 29, 2026 · 0 citations · Code ★ 63

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ACL 2026U Washington New York Massachusetts Institute of Techn Stanford Test-time compute

When One LLM Drools, Multi-LLM Collaboration Rules

Multi-LLM collaboration outperforms single LLM reasoning on tasks where individual models fail, demonstrating collective rule over solo drooling.

Shangbin Feng, Wenxuan Ding, Alisa Liu, Zifeng Wang and 9 more

Published 2026 · 1 citation

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ACM Computing Surveys 2025Zhejiang U Washington Peking Nanyang Technological Alibaba Group Instruction tuning

Instruction Tuning for Large Language Models: A Survey

Instruction tuning surveys supervised fine-tuning of LLMs on instruction-output pairs to align next-word prediction with human intent, covering datasets, training, applications, and limitations.

Shengyu Zhang, Linfeng Dong, Xiaoya Li, Sen Zhang and 7 more

Published Nov 17, 2025 · 79 citations

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ACL 2025U Washington Stanford Ethics & social impact

Biased LLMs can Influence Political Decision-Making

Biased LLMs influence political decision-making, altering judgments and choices in simulated policy scenarios with measurable partisan effects.

Jillian Fisher, Shangbin Feng, Robert Aron, Thomas Richardson and 5 more

Published 2025 · 13 citations

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NAACL 2025U Washington Instruction tuning

Stronger Models are NOT Stronger Teachers for Instruction Tuning

Stronger models are not stronger teachers for instruction tuning due to teacher-student incompatibility; a compatibility-adjusted reward metric predicts effective generators.

Zhangchen Xu, Fengqing Jiang, Luyao Niu, Lin, Bill Yuchen and 1 more

Published Nov 11, 2024 · 0 citations · ▲ 39 on Hugging Face

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arXivU Washington The University of Texas at Austi Allen Institute for Artificial I Alignment & preference optimization

Varying Shades of Wrong: Aligning LLMs with Wrong Answers Only

LLMs distinguish degrees of wrongness among incorrect answers, and alignment with such preferences yields less wrong answers and better calibration.

Jihan Yao, Wenxuan Ding, Shangbin Feng, Lucy Lu Wang and 1 more

Published Oct 14, 2024 · 0 citations · Code ★ 10

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ACL 2024U Washington Xi'an Jiaotong U Notre Dame Adversarial robustness

What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection

Instruction-tuned LLMs with a mixture-of-experts framework outperform bot detectors by 9.1%, but LLM-guided manipulation reduces their performance by up to 29.6%.

Shangbin Feng, Herun Wan, Ningnan Wang, Zhaoxuan Tan and 2 more

Published 2024 · 27 citations

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NAACL 2024U Washington Allen Institute for Artificial I Carnegie Mellon Summarization

P3Sum: Preserving Author’s Perspective in News Summarization with Diffusion Language Models

P3Sum uses diffusion language models to preserve authorial perspective in news summarization, outperforming autoregressive baselines on perspective fidelity.

Yuhan Liu, Shangbin Feng, Xiaochuang Han, Vidhisha Balachandran and 3 more

Published 2024 · 2 citations

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ACL 2024U Washington U California, Berkeley Hong Kong University of Science Carnegie Mellon Hallucination & factuality

Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration

Multi-LLM collaboration detects knowledge gaps to make LLMs abstain from wrong answers instead of hallucinating.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding and 2 more

Published 2024 · 37 citations

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EMNLP 2024U Washington New York Alignment & preference optimization

Modular Pluralism: Pluralistic Alignment via Multi-LLM Collaboration

Modular Pluralism plugs specialized community LMs into base LLMs to enable Overton, steerable, and distributional pluralistic alignment across diverse communities.

Shangbin Feng, Taylor Sorensen, Yuhan Liu, Jillian Fisher and 3 more

Published 2024 · 15 citations

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EMNLP 2024U Washington The University of Texas at Austi Microsoft Hallucination & factuality

Teaching LLMs to Abstain across Languages via Multilingual Feedback

Multilingual feedback teaches LLMs to abstain from answering in low-resource languages and improves cross-lingual abstention without degrading performance.

Shangbin Feng, Weijia Shi, Yike Wang, Wenxuan Ding and 5 more

Published 2024 · 4 citations

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EMNLP 2023FindingsU Notre Dame U Washington Allen Institute for Artificial I Xi'an Jiaotong Computational social science

BotPercent: Estimating Bot Populations in Twitter Communities

BotPercent estimates community-specific Twitter bot populations by calibrating detection models across social contexts, revealing heterogeneous spatial-temporal bot distributions and achieving state-of-the-art community-level detection accuracy.

Zhaoxuan Tan, Shangbin Feng, Melanie Sclar, Herun Wan and 3 more

Published 2023 · 16 citations

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74%Highly rated

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ACL 2023U Washington Carnegie Mellon Xi'an Jiaotong Fairness & bias

From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models

Pretraining data political biases propagate through language models into unfair hate speech and misinformation detectors, reinforcing polarization.

Shangbin Feng, Chan Young Park, Yuhan Liu, Yulia Tsvetkov

Published 2023 · 138 citations

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ACL 2023U Washington Xi'an Jiaotong U Virginia Tsinghua Text classification

BIC: Twitter Bot Detection with Text-Graph Interaction and Semantic Consistency

BIC detects Twitter bots via text-graph interaction and semantic consistency modeling, achieving high detection accuracy.

Zhenyu Lei, Herun Wan, Wenqian Zhang, Shangbin Feng and 4 more

Published 2023 · 35 citations

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NeurIPS 2022U Washington Xi'an Jiaotong Graph neural networks

TwiBot-22: Towards Graph-Based Twitter Bot Detection

TwiBot-22 introduces the largest graph-based Twitter bot benchmark with high-quality annotations and evaluates 35 baselines across nine datasets.

Shangbin Feng, Zhaoxuan Tan, Herun Wan, Ningnan Wang and 18 more

Published Jun 9, 2022 · 46 citations · Code ★ 270

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EMNLP 2022U Technology Sydney U Washington U California San Diego Xi'an Jiaotong Tsinghua Computational social science

PAR: Political Actor Representation Learning with Social Context and Expert Knowledge

PAR learns political actor representations by integrating social context and expert knowledge into a unified framework.

Shangbin Feng, Zhaoxuan Tan, Zilong Chen, Ningnan Wang and 4 more

Published 2022 · 8 citations

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NeurIPS 2026SpotlightDepartment of Computer Science, U Washington Allen Institute for AI, Universi Music

Rubato: Transcribing Piano Music with Timestamps

Nazif Tamer, Victoria Ebert, Guang Yang, Noah Smith

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

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NeurIPS 2026U Washington Department of Computer Science, Allen Institute for AI, Universi Vision-language models

Toward Multimodal Sheet Music Recognition and Understanding

Guang Yang, Brian Zheng, Victoria Ebert, Noah Smith

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

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NeurIPS 2026Paul G. Allen School of Computer U Washington U Washington, Google DeepMind Multi-agent RL

Why Copy Others? Insights into Social Learning from Multi-Agent Reinforcement Learning

Yancheng Liang, Shakti Senthil, Daphne Chen, Simon Du and 1 more

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

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NeurIPS 2026OralSharif University of Technology Penn State Pennsylvania State U Washington LLM evaluation & benchmarks

HearSayBench: Can LLMs Navigate from Abstract Human Rights to Lived Lives?

Sobhan Lotfi, Ava Iranmanesh, Ali Iranmanesh, Liwei Jiang

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

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NeurIPS 2026U Washington Boson AI - we are hiring!Fairness & bias

The Pok\'emon Theorem and other Fairness Impossibility Results

Daniel Matsui Smola, Alexander Smola

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

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NeurIPS 2026Princeton Sentient Sentient Foundation U Washington U Illinois at Urbana-Champaign AI 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 2026Allen Institute Allen Institute & University U Washington Time series classification & imputation

Time series analysis with Gumbel dynamics

Yiliu Wang, Timothy Kim, Eric Todd SheaBrown, Uygar Sümbül

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

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NeurIPS 2026U Washington Deep RL

Ordinal Geometry Complements Reconstruction: Diagnosing Planning with Compressed Value Functions

Shiheng Zhang

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

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NeurIPS 2026Zillow Group U Washington NVIDIA The University of Washington 3D 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 2026Microsoft U Washington Stanford Research, Microsoft PUC-RIO RL for LLMs

Multi-Turn RL Makes Small Language Model Competitive for Optimization Modeling

Xinzhi Zhang, Zeyi Chen, Humishka Zope, Hugo Barbalho 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 2026SpotlightU Washington | Google U California, Berkeley Department of Computer Science, U Washington U California, San Diego Embodied agents

Embedded-Arena: Building Hardware-in-the-Loop Coding Agents to Run AI on Microcontrollers

Zhihan Zhang, Alexander Le Metzger, Jiuyang Lyu, Chun-Cheng Chang and 9 more

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

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NeurIPS 2026Amazon U Washington Alignment & preference optimization

Margin Dynamics for Large Language Model Alignment

Xingzi Xu, Saygin Seyfioglu, Karim Bouyarmane

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

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NeurIPS 2026Nanyang Technological Georgia Institute of Technology U Washington Washington University, Saint Lou U Sydney Agent memory

When Should Agents Remember? Falsification-Gated Self-Evolution for LLM Agents

Runxuan Tang, Haoyu Gao, Yuyan Ding, Junyi Yao and 3 more

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

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NeurIPS 2026Johns Hopkins U Washington U California, Los Angeles U Illinois Urbana-Champaign LLM evaluation & benchmarks

Can We Trust Item Response Theory for AI Evaluation?

Han Jiang, Sunbeom Kwon, Jinwen Luo, Ziang Xiao 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 2026SpotlightStanford U Washington RL for LLMs

Rethinking Visual Reasoning in Text-to-Image Reward Modeling

Shiye Su, Xiaohan Wang, Ludwig Schmidt, Serena Yeung-Levy

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 Techn U Washington MIT Google National Tsing Hua Image recognition

Neural Refraction Fields for Image Verification

Sage Simhon, Jingwei Ma, Prafull Sharma, Lucy Chai and 2 more

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

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NeurIPS 2026Ohio U Wisconsin - Madison McGill McGill Northwestern Clinical NLP & EHR

SMI: Semantic Medical ID for Hierarchy-Aware Concept Representation

Ziyang Song, Lia Shen, Yixuan Li, Qincheng Lu and 5 more

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

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NeurIPS 2026Stanford U Washington U Washington; Meta Carnegie Mellon Stanford University/Pinterest Unified multimodal models

M*: A Modular, Extensible, Serving System for Multimodal Models

Atindra Jha, Naomi Sagan, Keisuke Kamahori, Irmak Sivgin and 8 more

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

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NeurIPS 2026U Washington North Seattle College ML systems & compilers

Shellsort as Multi-Scale Relaxation: Learning Spectrum-Matched Gap Schedules

Qingyun Li, Ruoyun Li, Yunqi Li, Yunjin Li

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

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NeurIPS 2026MIT U Washington Massachusetts Institute of Techn Learning theory

Tropical Gaussian Anticoncentration: Settling Optimal Instance-Dependent Bounds for Online Learning in Extensive-Form Games

Ashkan Soleymani, Zhiyuan Fan, Lillian Ratliff, Patrick Jaillet 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 2026Caltech California Institute of Technolo MIT Massachusetts Institute of Techn U Washington Physics-informed ML & PDEs

CFC26: Building Evaluations for Deployment in Sonar-Based Fish Counting

Madison Van Horn, Suzanne Stathatos, Sevan Brodjian, Justin Kay and 5 more

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

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NeurIPS 2026Department of Computer Science a Qwen Team & Chinese Universi U Washington Chinese University of Hong Kong Test-time compute

HiLoRA: Adaptive Hierarchical LoRA Routing for Training-Free Domain Generalization

Ziyi Han, Huanyu Wang, Zeyu Zhang, Xiangxiang Dai 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 2026Carnegie Mellon U Washignton U Washington Ethics & social impact

Community-Centered AI is Feasible and Beneficial for Impacted Communities

Tzu-Sheng Kuo, Quan Ze Chen, Amy Zhang, Kenneth Holstein and 1 more

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

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NeurIPS 2026Seoul National U Washington Bandits & online learning

Linear Contextual Bandits with Quasi-Optimism

Min-hwan Oh, Harin Lee

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

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NeurIPS 2026U Washington LLM agents & planning

Agentic Abstention: Do Agents Know When to Stop Instead of Act?

Han Luo, Bingbing Wen, Lucy Lu Wang

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

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NeurIPS 2026Carnegie Mellon CMU, Carnegie Mellon U Washington Stanford Proteins

DUIL: Deep Unsupervised Inverse Learning for in situ Macromolecular Morphology Identification

Mostofa Rafid Uddin, Seonghui Min, Mahek Vora, Qifeng Wu and 2 more

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

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NeurIPS 2026U Illinois Chicago U Illinois at Chicago Illinois Institute of Technology U Washington State University of New York at Agent benchmarks & environments

JARVIS-Bench: Benchmarking Personal Intelligence Agents on Long-Horizon Real-User Daily Traces

Weizhi Zhang, Wei-Chieh Huang, Yueqing Liang, Liwei Jiang and 36 more

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

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NeurIPS 2026U Washington Paul G. Allen School of Computer U Washington, Google DeepMind Human-AI interaction

Unifying Partner and Environment Diversity to Improve Human-AI Coordination

Patrick Q Zhang, Yancheng Liang, Adrienne Fairhall, Natasha Jaques

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

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NeurIPS 2026KAIST Korea Advanced Institute of Scie U Washington Exploration

Mitigating Overgeneralization in RND via Spectral Target Design

Minseok Jeong, Yechan Lee, Hyewon Choi, Jeongyong Yang 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 2026U Washington Massachusetts Institute of Techn Time series forecasting

Ensemble Modeling for Time Series Forecasting: an Adaptive Robust Optimization Approach

Adaptive robust optimization builds time-varying linear ensembles of forecasting models that reduce error by 16, 26% and risk by 14, 28% versus best single members and competing methods.

Leonard Boussioux, Henry Mao, Dimitris Bertsimas

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

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NeurIPS 2026U Washington Alignment & preference optimization

ABC-Align: Prediction-Powered Alignment with Adaptive Bias Control

ABC-Align minimizes variance via pseudo-labels and applies adaptive, lightweight bias correction tuned by plug-in estimates, outperforming semi-supervised alignment baselines with scarce human feedback.

Eric Frankel, Banghua Zhu, Sewoong Oh, Lillian Ratliff

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

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NeurIPS 2026U Washington U Southern California Learning theory

Adaptive Calibration in Non-Stationary Environments

Online prediction algorithms achieve calibration error adapting to non-stationarity via $\tilde O(\min\{\sqrt{T}+(TC)^{1/3},\sqrt{KT}\})$ bounds, smoothly interpolating between i.i.d. and adversarial settings.

Junyan Liu, Haipeng Luo, Lillian Ratliff

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

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NeurIPS 2026U Washington Anomaly detection

Online Bayesian Calibration under Gradual and Abrupt System Changes

BRPC enables online Bayesian calibration under nonstationarity by separating particle-based parameter updates from discrepancy updates, with restart mechanisms for abrupt regime shifts, improving accuracy over baselines.

Yang Xu, Chiwoo Park

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

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NeurIPS 2026U Washington Paul G. Allen Center for Compute Department of Computer Science, U North Carolina at Chapel Hill Video generation

RefDecoder: Enhancing Visual Generation with Conditional Video Decoding

RefDecoder conditions video VAE decoders on reference images via attention to recover lost detail, boosting reconstruction PSNR by up to 2.1 dB and improving consistency across video generation tasks without retraining.

Xiang Fan, Yuheng Wang, Bohan Fang, Jason Ren and 1 more

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

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NeurIPS 2026U Washington Deep RL

Factorized Spectral Representations for Reinforcement Learning

FaStR applies CP tensor decomposition to transition dynamics via contrastive learning, yielding separate state, action, and next-state encoders that shrink sample complexity and enable cross-actuator transfer.

Junyi Wu, Dan Li

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

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NeurIPS 2026U Washington Tacoma U Washington U Washington, Tacoma Ghent Privacy

Membership Inference on Synthetic Single-Cell Genomic Data

Membership inference attacks successfully identify training donors in synthetic single-cell RNA-seq data, revealing that leading generation methods inadequately protect privacy and leak more as donor counts drop.

Steven Golob, Patrick McKeever, Sikha Pentyala, Martine De Cock and 1 more

Paris Poster Session 2, Wed, Dec 9, 5:00 PM–7:00 PM, Paris Poster Hall · Published 2026

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NeurIPS 2026Georgia Institute of Technology U Washington U Illinois at Urbana-Champaign Deep learning theory

Global Convergence of Four-Layer Matrix Factorization under Random Initialization

Gradient descent globally converges for randomly initialized four-layer matrix factorization with balanced regularization, avoiding saddles in polynomial time.

Minrui Luo, Weihang Xu, Xiang Gao, Maryam Fazel and 1 more

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

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NeurIPS 2026U Texas at Dallas Emory U Texas at Arlington U Florida UT Dallas RL for LLMs

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models

LEAD adaptively calibrates reasoning length via online self-adaptive rewards, achieving highest accuracy and efficiency scores with shorter outputs than base reasoning models.

Songtao Wei, Yi Li, Zhikai Li, Xu Hu and 6 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 4

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NeurIPS 2026SpotlightCMU, Carnegie Mellon Department of Computer Science, U Washington Google U North Carolina at Chapel Hill Pose & motion

MolmoMotion: Forecasting Point Trajectories in 3D with Language Instruction

MolmoMotion predicts goal-conditioned 3D point trajectories from visual history and language, outperforming baselines on PointMotionBench and improving robot manipulation and video synthesis.

Jianing Zhang, Chenhao Zheng, Yajun Yang, Rustin Soraki and 6 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 53 on Hugging Face · Code ★ 151

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NeurIPS 2026U Oxford U Washington University College London, Unive Pepperdine Imperial College London Adversarial robustness

MedMisBench: Measuring Epistemic Resilience of LLMs Under Misleading Medical Context

MedMisBench reveals LLM medical accuracy collapses from 71% to 38% under misleading context, exposing a critical evaluation blind spot around epistemic resilience.

Hongjian Zhou, Xinyu Zou, Jinge Wu, Sean Wu and 18 more

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

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NeurIPS 2026SpotlightU Washington U Texas at Dallas Hankuk University of Foreign Stu UW Unified multimodal models

SceneBind: Binding What and Where Across Vision, Audio, and Language

SceneBind binds vision, audio, and language via semantic-spatial entities and matching to achieve state-of-the-art cross-modal scene retrieval and spatial grounding.

Mingfei Chen, Zijun Cui, Ruoke Zhang, Hyeonggon Ryu and 1 more

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

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NeurIPS 2026Department of Computer Science a Qwen Team & Chinese Universi U Washington Chinese University of Hong Kong Jailbreaks & red teaming

Steering Frozen LLMs: Adaptive Social Alignment via Online Prompt Routing

CCLUB enables adaptive LLM alignment via online system-prompt routing with conservative consensus clustering, achieving sublinear regret and improving cumulative reward by 10.98% over baselines.

Zeyu Zhang, Xiangxiang Dai, Ziyi Han, Xutong Liu 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 2026U Washington U Pennsylvania Learning theory

Instance-Adaptive Online Multicalibration

An efficient online multicalibration algorithm adaptively refines a dyadic grid to interpolate between worst-case and benign sequences, achieving rates from O(T^{2/3}) down to O(sqrt(T)) and O(sqrt(JT)) with tight threshold-complexity dependence.

Zhiming Huang, Jamie Morgenstern, Aaron Roth, Claire Jie Zhang

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

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NeurIPS 2026U Washington Netflix & Cornell Netflix Imitation learning

Inverse Reinforcement Learning with Just Classification and a Few Regressions

GenPQR reduces inverse reinforcement learning to policy estimation via classification followed by Q-function regression, yielding modular finite-sample guarantees and improved reward recovery across continuous action spaces.

Lars van der Laan, Nathan Kallus, Aurelien Bibaut

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

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NeurIPS 2026U Washington Causal inference

Calibeating Prediction-Powered Inference

Calibrated Prediction-Powered Inference post-hoc calibrates black-box predictions on labeled data to improve semisupervised mean estimation efficiency without retraining, with isotonic calibration achieving first-order optimality.

Lars van der Laan, Mark van der Laan

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

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NeurIPS 2026Stanford University College London, Unive Imperial College London Charité - Universitätsmedizin Be U Cambridge Biosignals & wearables

OpenMHC: Accelerating the Science of Wearable Foundation Models

OpenMHC releases the largest open wearable health dataset with open-source foundation models and a unified benchmark across prediction, imputation, and forecasting tasks.

Narayan Schütz, Yuze Bai, Lianggang Pan, Edgar Eggert and 15 more

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

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NeurIPS 2026U Washington Microsoft Research UT Austin Duke The Hong Kong University of Scie Multi-agent LLM systems

Population-Aligned Persona Generation for LLM-based Social Simulation

A framework generates population-aligned personas from social media via quality filtering, importance sampling, and task-specific adaptation, reducing bias in LLM social simulations.

Zhengyu Hu, Jianxun Lian, Zheyuan Xiao, Max Xiong and 9 more

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

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NeurIPS 2026Carnegie Mellon Microsoft U Washington Robot manipulation

Runtime Monitoring of Perception-Based Autonomous Systems via Embedding Temporal Logic

ETL monitors perception-based autonomous systems directly in learned embedding spaces via distance-based temporal logic predicates, enabling reliable specification of high-level visual behaviors with conformal calibration.

Parv Kapoor, Abigail Hammer, Ashish Kapoor, Karen Leung 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 Washington Deep learning theory

Learning Orthogonal Multi-Index Models Beyond Small Initialization: Incremental Learning, Competitive Dynamics and Symmetry

Under standard initialization, two-layer networks learn orthogonal multi-index targets incrementally via competitive neuron dynamics, with lower-order Hermite components recovered before higher-order directions.

Mo Zhou, Weihang Xu, Simon Du, Maryam Fazel

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

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NeurIPS 2026U Washington U Chicago Optimization

Local linear convergence of gradient methods for overparameterized Gaussian mixtures

Overparameterized Gaussian mixtures have a loss manifold of slow growth where Polyak steps achieve geometric loss reduction, and alternating short gradient steps with long Polyak steps yields local linear convergence to near-optimal solutions.

Jingxing Wang, Vasileios Charisopoulos, Maryam Fazel

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

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NeurIPS 2026U Washington Amazon Purdue Biosignals & wearables

Multi-site PPG: An In-the-Wild Physiological Dataset from Emerging Multi-Site Wearables

Multi-site PPG is an in-the-wild dataset of 350+ hours from earring, ring, watch, and necklace wearables, showing heart-rate errors vary substantially by body site.

Jiayi Shao, Jiaying Ye, ShengYao Liu, Zachary Englhardt and 3 more

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

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NeurIPS 2026Department of Computer Science, Allen Institute for Artificial I U Washington; Meta U Washington Visual grounding

Vision-Language Grounding as Bidirectional Concept Correspondence

Grounding is formulated as bidirectional concept correspondence to recover all image-text span correspondences without prespecified phrases via ConCor-1, improving F1 by 48% and 29% over baselines.

Jieyu Zhang, Ziqi Gao, Luke Zettlemoyer, Ranjay Krishna

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 6 on Hugging Face · Code ★ 8

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NeurIPS 2026SpotlightGoogle DeepMind U California, San Diego U Waterloo Stanford; Noeri AI Tencent LLM agents & planning

Beyond Semantic Similarity: Rethinking Retrieval for Agentic Search via Direct Corpus Interaction

Direct corpus interaction uses terminal tools to search raw corpora directly, bypassing fixed retrieval interfaces and substantially outperforming sparse, dense, and reranking baselines on agentic search benchmarks.

Zhuofeng Li, Haoxiang Zhang, Cong Wei, Pan Lu and 14 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 125 on Hugging Face · Code ★ 407

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NeurIPS 2026U Washington Northeastern Ohio State University, Columbus Emory Duke Medical LLMs

A Multimodal Benchmark for Evaluating Cause-of-Death Inference Using Child Health and Mortality Data

This paper introduces a multimodal benchmark for cause-of-death inference in child mortality data, showing zero-shot language models synthesize unstructured medical evidence differently than supervised baselines.

Junhe Yang, Soumyakanti Pan, Hyun Seung Lim, YUE CHU and 17 more

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

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NeurIPS 2026Northeastern U California, San Diego U Maryland, College Park Meta AI U Washington Video-language models

ThinkJEPA: Empowering Latent World Models with Large Vision-Language Reasoning Model

ThinkJEPA combines dense JEPA dynamics with sparse VLM reasoning via dual pathways to improve long-horizon latent world modeling and trajectory prediction.

Haichao Zhang, Yijiang Li, Shwai He, Tushar Nagarajan and 4 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 21 on Hugging Face · Code ★ 58

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NeurIPS 2026OralU California, Berkeley Tsinghua Tsinghua University, Tsinghua Purdue U Washington Agent benchmarks & environments

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

MLS-Bench evaluates AI agents on inventing scalable ML methods across 140 tasks, finding current systems fail to reliably surpass human-designed approaches due to insufficient scientific validation insight.

Bohan Lyu, Yucheng Yang, Siqiao Huang, Jiaru Zhang and 24 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 8 on Hugging Face · Code ★ 120

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NeurIPS 2026OralU Washington The University of Alabama National University of Singapore Westlake Drexel Navigation & SLAM

Language-Conditioned World Modeling for Visual Navigation

LCVN introduces a language-conditioned navigation benchmark and compares diffusion-based latent imagination against unified autoregressive prediction for embodied agents. Latent imagination yields more temporally coherent rollouts, while unified prediction generalizes better to unseen environments.

Yifei Dong, Fengyi Wu, Yilong Dai, Lingdong Kong and 7 more

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

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