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Showing papers from University of Virginia, Charlottesville Show all papers

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Mixture-of-Experts for Online Matrix Completion on a Drifting Union of Subspaces

Renpu Liu, Jing Yang

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
45%Niche pick
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Flow-Guided Target-Space Alignment via Path Consistency

Ruizhi Yuan, Zeqiu Yu, Wei Gao, Wei Chen 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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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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Click3R: Interactive Stereo 3D Reconstruction with Sparse Correspondence Clicks

Hao Gu, Jin Yao, Zezhou Cheng

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
45%Niche pick
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Revisiting The Power of Closed-Form: Robust Deep Image Prototype Discovery via Scale Mixtures

Zhikang Xu, Jiarui Xing, Jian Wang

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
57%Worth a look
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Saliency-Aware Multi-Route Thinking: Grounding and Reasoning on Vision-Language Agents

Mingjia Shi, Yinhan He, Yaochen Zhu, Cassie Dong and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 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
45%Niche pick
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Data Auctions for Retrieval Augmented Generation

Minbiao Han, Seyed A Esmaeili, Michael Albert, Haifeng Xu

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
67%Highly rated
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When Safety Becomes An Outlier: Understanding the Retention of LLM Safety Behaviors

Binchi Zhang, Hadi Abdullah, Yiwei Cai, Jundong Li

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

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 1/10
strict 0/5
45%Niche pick
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Low-Rank Hierarchical Merging for Efficient Long-to-Short Reasoning

Zeqiu Yu, Xuesheng Zhang, Wenxiao Zhao, Shixiao Wang

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

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AI panel: 0 of 20 reviewers recommend it
lenient 0/5
medium 0/10
strict 0/5
78%Highly rated
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Search-Augmented Masked Diffusion Models for Constrained Generation

SearchDiff integrates informed search into masked diffusion denoising to enforce hard constraints and optimize non-differentiable properties at inference time without retraining, outperforming discrete diffusion and autoregressive baselines.

Huu Binh Ta, Michael Cardei, Alvaro Velasquez, Ferdinando Fioretto

Atlanta Poster Session 1, Wed, Dec 9, 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
89%Must read
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Predicting Plasticity in Deep Continual Learning: A Theoretical Perspective

Existing plasticity diagnostics fail to predict trainability, but optimization readiness, combining gradient strength and reliability, lower-bounds optimization gain and predicts plasticity more reliably.

Jiuqi Wang, Jayanth Srinivasa, Claire Chen, Shuze D Liu and 2 more

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

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 4/5
medium 10/10
strict 2/5
74%Highly rated
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MathlibPR: Pull Request Merge-Readiness Benchmark for Formal Mathematical Libraries

MathlibPR benchmarks LLMs on reviewing real Mathlib4 pull requests, finding they cannot distinguish merge-ready from build-passing but unmerged PRs.

Zixuan Xie, Xinyu Liu, Shangtong Zhang

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · 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 3/10
strict 2/5
89%Must read
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PixelDense: Dense Prediction as Representation Alignment for Pixel Diffusion

PixelDense aligns pixel diffusion with frozen dense-prediction teachers via separate semantic and geometric projection streams and orthogonality penalties, improving GenEval to 0.8093 and training speed by 1.23x.

Lehan Yang, Daiqing Qi, Wenhao Zhang, Avery Li and 8 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 20 on Hugging Face · Code ★ 3

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16/20 AI panelreviewers recommend it

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AI panel: 16 of 20 reviewers recommend it
lenient 3/5
medium 9/10
strict 4/5
71%Highly rated
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OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer

OmniShotCut reframes shot boundary detection as structured relational prediction via a shot-query transformer, outperforming existing methods on a new synthetic benchmark.

Boyang Wang, Guangyi Xu, Jiahui Zhang, Zhipeng Tang and 1 more

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

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
89%Must read
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Rethinking Visual Attribution for Chest X-ray Reasoning in Large Vision Language Models

A causal framework reveals standard visual attribution methods poorly explain chest X-ray reasoning in vision-language models, and MedFocus improves evidence localization via concept-based optimal transport.

Guangzhi Xiong, Qiao Jin, Sanchit Sinha, Zhiyong Lu and 1 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 6

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AI panel: 16 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 3/5
91%Must read
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AgentCollabBench: Diagnosing When Good Agents Make Bad Collaborators

AgentCollabBench introduces 900 diagnostic tasks showing multi-agent collaboration failures stem from topology, not just model capability. Communication topology explains 7-40% of variance as converging nodes discard minority-branch constraints.

Aritra Mazumder, Shubhashis Roy Dipta, Nusrat Jahan Lia, Tanzila Khan and 9 more

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

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5
78%Highly rated
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Constrained Code Generation with Discrete Diffusion

CDC integrates constraint satisfaction into discrete diffusion code generation via training-free neurosymbolic operators that locally steer denoising toward feasible programs, improving correctness, security, and syntax over baselines.

Lize Shao, Michael Cardei, Zichen Xie, Ferdinando Fioretto and 1 more

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

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11/20 AI panelreviewers recommend it

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AI panel: 11 of 20 reviewers recommend it
lenient 4/5
medium 7/10
strict 0/5
76%Highly rated
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CASL: Concept-Aligned Sparse Latents for Interpreting Diffusion Models

CASL aligns diffusion model sparse latents with semantic concepts via supervised linear mapping, enabling precise concept-specific editing and causal interpretability.

Zhenghao He, Guangzhi Xiong, Boyang Wang, Sanchit Sinha and 1 more

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

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10/20 AI panelreviewers recommend it

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 5/10
strict 0/5
71%Highly rated
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Drift Flow Matching

Drift Flow Matching bridges one-step drift models and iterative flow matching to enable adaptive sampling computation for flexible generation quality and efficiency.

Chenrui Ma, Xi Xiao, Lin Zhao, Tianyang Wang and 2 more

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

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7/20 AI panelreviewers recommend it

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AI panel: 7 of 20 reviewers recommend it
lenient 4/5
medium 3/10
strict 0/5
72%Highly rated
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Almost Sure Convergence Rates of Stochastic Approximation and Reinforcement Learning via a Poisson-Moreau Drift

A Poisson-Moreau drift yields near-optimal almost sure convergence rates for contractive stochastic approximation under Markovian noise.

Xinyu Liu, Zixuan Xie, Shangtong Zhang

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · 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 2/5
medium 5/10
strict 1/5
91%Must read
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VeriContest: A Competitive-Programming Benchmark for Verifiable Code Generation

VeriContest introduces 946 competitive programming problems with verified Rust specifications and proofs, showing state-of-the-art models reach only 5.29% on end-to-end verifiable generation.

Zichen Xie, Mrigank Pawagi, Yuxin Liu, Aaditi Rai and 4 more

Atlanta Poster Session 4, Thu, Dec 10, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face

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18/20 AI panelreviewers recommend it

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5