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Showing papers from University of Wisconsin-Madison Show all papers

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NeurIPS 2026U Wisconsin—MadisonU Wisconsin - MadisonUW-MadisonArgonne National LaboratoryU Wisconsin-MadisonLLM agents & planning

Neglected Free Lunch from Post-training: Progress Advantage for LLM Agents

RL post-training yields progress advantage, a log-ratio that recovers optimal step-level advantage without dedicated reward models, outperforming trained alternatives across agent benchmarks.

Changdae Oh, Wendi Li, Seongheon Park, Samuel (Min-Hsuan) Yeh and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 13 on Hugging Face · Code ★ 12

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91%Must read
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NeurIPS 2026SpotlightMicrosoftU Wisconsin-MadisonRL for LLMs

ECHO: Terminal Agents Learn World Models for Free

ECHO trains terminal agents to predict environment responses for dense supervision, doubling GRPO pass@1 on TerminalBench-2.0.

Vaishnavi Shrivastava, Ahmed Awadallah, Dimitris Papailiopoulos

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

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 10/10
strict 3/5
45%Niche pick
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NeurIPS 2026U Wisconsin-MadisonU Wisconsin -- MadisonOffline RL

Intra-Option Fitted Q-Evaluation: Evaluating Hierarchical Policies from Non-Hierarchical Data

Yunfu Deng, Josiah Hanna

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

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67%Highly rated
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NeurIPS 2026SpotlightU Technology SydneySingapore ManagementU Wisconsin-Madison" University of Technology,Hallucination & factuality

CHORD: Cross-Model Hallucination Detection via Relational Graph Discrimination

Yongxin Deng, Zhen Fang, Guansong Pang, Sharon Li 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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57%Worth a look
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NeurIPS 2026U Wisconsin-MadisonU Wisconsin - MadisonU Wisconsin -- MadisonDeep RL

Distributionally Robust Multi-Task Reinforcement Learning via Adaptive Task Sampling

Nicholas Corrado, Wenyuan Huang, Josiah Hanna

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

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NeurIPS 2026UW MadisonU Wisconsin-MadisonU Wisconsin - MadisonMechanistic interpretability

Spectral-Spatial Interpretation

Haotian Ma, Ruqi Yang, Philip Townsend

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

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NeurIPS 2026U Wisconsin-MadisonUniversity Of Wisconsin MadisonUCSDU Wisconsin, MadisonLearning theory

Sample Complexity of Linear Regression under Random-Location Coordinate Corruptions

Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Thanasis Pittas

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

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NeurIPS 2026SpotlightU Wisconsin-MadisonUniversity Of Wisconsin MadisonUCSDComputer Science and EngineeringU California San DiegoLearning theory

(Strongly) Replicable Distribution Testers imply High Probability Distribution Testers

Ilias Diakonikolas, Jingyi Gao, Daniel Kane, Sihan Liu 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 UtahU Wisconsin-MadisonNational TaiwanDiffusion models

Test-Time Sequential Steering of Diffusion Models via Preconditioned Crank-Nicolson

Joel Keller, Taos Transue, Qin Li, Shih-Hsin Wang 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 Wisconsin - MadisonU Tokyo / SB IntuitionsColumbiaDeepMindPrincetonAgent benchmarks & environments

DEBATE: A Large-Scale Benchmark for Evaluating Opinion Dynamics in Role-Playing LLM Agents

Yun-Shiuan Chuang, Ruixuan Tu, Chengtao Dai, You Li and 7 more

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 Wisconsin-MadisonKRAFTONKAISTRL for LLMs

Is the Importance Ratio Necessary for Stable Reinforcement Learning in LLMs?

Shuibai Zhang, Junhyuck Kim, Gyeongman Kim, Jaewoong Cho

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

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NeurIPS 2026U Wisconsin - MadisonUW-MadisonU Wisconsin-MadisonDeep RL

Entropy Dynamics of Agent Reinforcement Learning

Wendi Li, Shawn Im, Sharon Li

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

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NeurIPS 2026PrincetonU Illinois at Urbana ChampaignU Wisconsin-MadisonUIUCJailbreaks & red teaming

Measuring and Strengthening Behavioral Suppression in Language Models

Luxi (Lucy) He, Pengcheng Jiang, Jifan Zhang, Jiawei Han and 1 more

Atlanta Poster Session 4, Thu, Dec 10, 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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78%Highly rated
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NeurIPS 2026U Wisconsin - MadisonKoreaU Wisconsin-MadisonEfficient inference & serving

NPUsper: Eliminating Redundant Computation for Real-Time Whisper on Mobile NPUs

NPUsper eliminates redundant Whisper computation on mobile NPUs via online hallucination detection and chunked decoding to cut latency, TTFT, and power.

Hojeong Lee, Si H Lee, Sungwon Woo, Chengpo Yan and 2 more

Atlanta Poster Session 5, Fri, Dec 11, 10:00 AM–1:00 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
80%Must read
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NeurIPS 2026CornellGeorgia Institute of TechnologyU Wisconsin-MadisonMBZUAI Institute of Foundation MNVIDIA ResearchLLM pretraining & scaling laws

Continuous Diffusion Scales Competitively with Discrete Diffusion for Language

RePlaid, a continuous diffusion language model aligned with modern discrete architectures, achieves scaling laws rivaling discrete diffusion and sets a continuous diffusion perplexity record of 22.1 on OpenWebText.

Zhihan Yang, Wei Guo, Shuibai Zhang, Subham Sahoo 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: 12 of 20 reviewers recommend it
lenient 3/5
medium 7/10
strict 2/5
70%Highly rated
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NeurIPS 2026Department of Computer Science, MetaU Wisconsin-MadisonOptimization

Adaptive Delayed-Update Cyclic Algorithm for Variational Inequalities

ADUCA is a parameter-free cyclic algorithm for Minty variational inequalities that uses delayed operator updates to avoid line searches and achieves near-optimal global oracle complexity.

Yi Wei, Xufeng Cai, Jelena Diakonikolas

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

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AI panel: 5 of 20 reviewers recommend it
lenient 1/5
medium 3/10
strict 1/5
74%Highly rated
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NeurIPS 2026U Wisconsin - MadisonU Wisconsin-MadisonTime series forecasting

Online Localized Conformal Prediction

OLCP combines online adaptation with covariate localization for efficient online conformal prediction under heterogeneity, with OLCP-Hedge selecting bandwidths via online expert aggregation; both achieve valid long-run coverage with narrower prediction sets.

Yuheng Lai, Garvesh Raskutti

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

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 1/5
88%Must read
NeurIPS 2026KoreaKAISTkorea advanced institute of scieU Wisconsin-MadisonUlsan National Institute of ScieIn-context learning & prompting

AgentGrad: Intervention-guided Prompt Optimization for Multi Agent Systems

AgentGrad improves multi-agent prompt optimization via sequential intervention and semantic gradient clustering, achieving state-of-the-art performance with 2.5x faster optimization and 21.8% lower cost.

Jaewon Chu, jinwoo seo, Jaewon Cho, Jeehye Na and 3 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 107 on Hugging Face

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15/20 AI panelreviewers recommend it

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AI panel: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
74%Highly rated
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NeurIPS 2026Oregon StateU Wisconsin - MadisonU Wisconsin-MadisonMassachusetts Institute of TechnSpeech synthesis

Generating the Unheard: Phylogeny-Guided Latent Generation for Ancestral Sound Reconstruction

This framework generates ancestral bird vocalizations by inferring decodable VAE latents guided by phylogenetic traits, achieving genuine generation and naturalistic audio quality.

Tianyi Xu, Shrinaath Narasimhan, Evan Gorstein, Santiago Perea and 2 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 4/5
medium 5/10
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