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Showing papers from University of Florida Show all papers

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NeurIPS 2026Warrington College of BusinessU FloridaDomain adaptation

Learning under Localized Minority Imbalance

Amin Hosseininasab, Steven M Shugan

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

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NeurIPS 2026State University of New York at U FloridaUniversity at Buffalo-SUNYState University of New York BufDeep learning theory

Elastic Representations via Hyperbolic Geometry

Arjun Ramesh Kaushik, Rudrasis Chakraborty, Nalini Ratha, Venu Govindaraju

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

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NeurIPS 2026Visa ResearchVISA ResearchU FloridaVISAPrivacy

Privacy-Preserving Retrieval-Augmented Generation with Plausible Deniability

Wenxuan Bao, Shan Jin, Vincent Bindschaedler, Yiwei Cai

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

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NeurIPS 2026U South FloridaU FloridaBackdoors & data poisoning

VOID: Backdoor Injection through Knowledge Vacuity in Federated Unlearning

Wenwei Zhao, Yuxuan Xie, Haiyun Liu, Jie Xu 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 2026Carnegie Mellon University, SeouCarnegie MellonSeoul NationalU FloridaEpic GamesVision-language models

MM-SCALE: Evaluating Evidence-Grounded Moral Judgment in Vision-Language Models

Eunkyu Park, Wesley Deng, Cheyon Jin, Matheus Kunzler Maldaner and 7 more

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

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NeurIPS 2026NorthwesternNorthwestern University, NorthweU FloridaPhysics-informed ML & PDEs

Axiomatic World Modeling for Physics Reasoning

Xinye Yang, Zhenyang Liu, Yuxuan Wang, Yuanyuan Lei

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

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NeurIPS 2026U FloridaFlow matching

Exact Recovery of Lipschitz Orthogonal Coordinate Transformations via Constrained Normalizing Flows

Isaac Manring, Kejun Huang

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

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NeurIPS 2026U FloridaTianjin NormalMulti-agent RL

Know Your Task, Learn It Right: Task-Aware Optimistic Value Learning for Multi-Task Multi-Agent Reinforcement Learning

Chang Liu, Mengyang Li

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

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NeurIPS 2026Toyota Technological Institute aU FloridaTTI-ChicagoOffline RL

Compose Your Oracles: Off Policy Improvement with Aggregated Guidance

Jingtian Ji, Xuefeng Liu, Matthew Walter

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

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NeurIPS 2026U FloridaU OklahomaOak Ridge National LaboratoryArgonne National LaboratoryUnited States Military AcademyMulti-agent LLM systems

Unified Resource-Grounded Coordination Protocol for Orchestrator-Free Heterogeneous Multi-Agent Systems

Vishal Pramanik, Maisha Maliha, Olivera Kotevska, Arvind Ramanathan 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 2026U FloridaU OklahomaOak Ridge National LaboratoryUnited States Military AcademyDARPAJailbreaks & red teaming

Harmless in Pieces, Harmful in Motion: Detecting Multi-Agent Jailbreaks

Vishal Pramanik, Maisha Maliha, Olivera Kotevska, Nathaniel D Bastian 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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NeurIPS 2026U FloridaMulti-agent RL

Mind the Gap: Information Disadvantage as a Learning Signal in Cooperative MARL

Chang Liu

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

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NeurIPS 2026U FloridaNortheasternLLM evaluation & benchmarks

Benchmarking Risk Attitudes of LLMs

Bowen Sun, Rui Min, Xianyao Li, Yuxi Wang and 3 more

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

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NeurIPS 2026U FloridaNational University of SingaporeGraph neural networks

SAG-Sep: Sparse Augmented Graphs and Onion-Guided Search for Rounded Capacity Cut Separation

Haoran Liu, Guanyi Wang, Yu Yang

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

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NeurIPS 2026U FloridaLouisiana StateOptimization

Riemannian Lyapunov Framework: Optimization as Closed-Loop Control on Riemannian Manifolds

Yixuan Wang, Omkar Sudhir Patil, Warren Dixon

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

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83%Must read
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NeurIPS 2026U Texas at DallasEmoryU Texas at ArlingtonU FloridaUT DallasRL 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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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
89%Must read
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NeurIPS 2026SophontMedARCU FloridaIMT AtlantiqueZoho CorpLLM evaluation & benchmarks

Medmarks: A Comprehensive Open-Source LLM Benchmark Suite for Medical Tasks

Medmarks introduces 30 open-source medical benchmarks evaluating 61 LLMs, finding frontier reasoning models lead, proprietary models are more token-efficient, medical fine-tuning helps, and smaller models show answer-order bias.

Benjamin Warner, Ratna S Grandhi, Max Kieffer, Aymane Ouraq and 31 more

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026 · ▲ 2 on Hugging Face

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
86%Must read
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NeurIPS 2026U FloridaNorth Carolina StateWashington StateSeoul National University of SciPrivacy

Leveraging Soft Prompts for Privacy Attacks in Federated Prompt Tuning

PromptMIA uses adversarial soft prompts to exploit federated prompt-tuning updates for highly effective membership inference attacks that bypass standard defenses.

Quan M Nguyen, Min-Seon Kim, Hoang M Ngo, Nghia Hoang 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: 14 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 3/5
89%Must read
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NeurIPS 2026U DelawareU FloridaDistribution shift & OOD detection

A Systematic Analysis of Out-of-Distribution Detection Under Representation and Training Paradigm Shifts

A systematic benchmark shows out-of-distribution detector competitiveness depends mainly on learned representations rather than score design, with neural collapse metrics predicting top detector choices without extra out-of-distribution data.

Claudio César Claros-Olivares, Austin Brockmeier

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

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AI panel: 16 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 4/5
70%Highly rated
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NeurIPS 2026PekingU FloridaU Hong KongAlibaba GroupTohokuComputational neuroscience

Paleoinspired Vision: From Exploring Colour Vision Evolution to Inspiring Camera Design

A retinal model with a novel opsin layer simulates color vision evolution and optimizes task-specific camera spectral filters via mutation-driven adaptation.

Yijie Lu, Zhimin Zong, Junjie Zhang, Shenghan Su and 7 more

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

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AI panel: 5 of 20 reviewers recommend it
lenient 3/5
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