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Showing papers from University of Illinois at Chicago Show all papers

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Subdata Selection: A Unified Framework for Optimal Selection and Statistical Efficiency Assessment

Min Yang, Wei Zheng, John Stufken, Ming-Chung Chang 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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VLS: A Vision-Language-Shape Model for Open-Vocabulary Partonomic 3D Reconstruction

Xiaoqian Ruan, Pei Yu, Dian Jia, Hyeonjeong Park and 2 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
67%Highly rated
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MSConsensus: A Hundred-Million-Scale, Batch-Effect–Suppressed Dataset and Benchmark for Proteomics Machine Learning

Christopher Grams, Chang Liu, Michael Papka, Yu Gao

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

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2/20 AI panelreviewers recommend it

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AI panel: 2 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 1/5
57%Worth a look
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PRISM: Primitive Routing via In-context Skill Mixing for Lifelong VLA

Jiachen Tao, Gengyu Zhang, Haoxuan Wang, Bing 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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AI panel: 1 of 20 reviewers recommend it
lenient 1/5
medium 0/10
strict 0/5
45%Niche pick
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DeltaFugue: Orchestrating Spatial and Associative Memory for Algorithmic Length Generalization

Anh T Nguyen, Quan Dao, Bing Liu

Atlanta Poster Session 5, Fri, Dec 11, 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
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Deployment-Time Online Imitation Learning from Corrective Demonstrations

Saleh Momeni, Bing Liu

Atlanta Poster Session 5, Fri, Dec 11, 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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Risks Create a Jagged Frontier of LLM Productivity Gains Across Computer Occupations

Deepika Chawla, Gagandeep Singh, Elham k buxton, Meicen Sun and 3 more

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

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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
57%Worth a look
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Argus: A Cross-Regime Benchmark for the Transferability of Uncertainty Quantification in Computer-Use Agents

DIVAKE KUMAR, Sina Tayebati, Devashri Naik, Amanda Rios and 4 more

Atlanta Poster Session 3, Thu, Dec 10, 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
67%Highly rated
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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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AI panel: 2 of 20 reviewers recommend it
lenient 2/5
medium 0/10
strict 0/5
80%Must read
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VerifyMAS: Hypothesis Verification for Failure Attribution in LLM Multi-Agent Systems

VerifyMAS verifies failure hypotheses over full LLM multi-agent trajectories to attribute errors globally and cut combinatorial search.

Hezhe Qiao, Hanghang Tong, Ee-peng Lim, Bing Liu and 1 more

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

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12/20 AI panelreviewers recommend it

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 7/10
strict 0/5
71%Highly rated
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GRAPHLCP: Structure-Aware Localized Conformal Prediction on Graphs

GRAPHLCP integrates graph topology and inter-node dependencies into localized conformal prediction via densification and PageRank-based structural proximity, improving conditional coverage efficiency on graphs.

Peyman Baghershahi, Fangxin Wang, Debmalya Mandal, Sourav Medya

Atlanta Poster Session 3, Thu, Dec 10, 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 3/5
medium 4/10
strict 0/5
74%Highly rated
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Capacity-Constrained Online Convex Optimization with Delayed Feedback

Capacity-constrained online convex optimization with delayed feedback achieves near-standard regret with logarithmic tracking capacity via randomized scheduling and weighted FTRL.

Alexander Ryabchenko, Idan Attias, Dan Roy

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · 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 2/5
medium 6/10
strict 1/5
83%Must read
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CM2: Reinforcement Learning with Checklist Rewards for Multi-Turn and Multi-Step Agentic Tool Use

CM2 replaces verifiable outcome rewards with checklist rewards for multi-turn tool-use RL, improving 8B models by 8, 12 points on agent benchmarks using simulated environments.

Zhen Zhang, Kaiqiang Song, Sean Wang, Yebowen Hu and 10 more

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

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13/20 AI panelreviewers recommend it

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
86%Must read
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AEM: Adaptive Entropy Modulation for Multi-Turn Agentic Reinforcement Learning

AEM adaptively modulates response-level entropy dynamics for supervision-free credit assignment in multi-turn agent RL, improving exploration-exploitation trade-offs and consistently boosting strong baselines across ALFWorld, WebShop, and SWE-bench-Verified.

Haotian Zhao, Songlin Zhou, Yuxin Zhang, Stephen S Yau and 8 more

Sydney Poster Session 2, Tue, Dec 8, 5:00 PM–8:00 PM, Hall 1-4 · Published 2026 · ▲ 21 on Hugging Face

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
72%Highly rated
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A Reduction from Delayed to Immediate Feedback for Online Convex Optimization with Improved Guarantees

A reduction framework converts online convex optimization with delayed feedback into immediate feedback, improving delay-dependent regret bounds for both first-order and bandit settings via continuous-time decomposition.

Alexander Ryabchenko, Idan Attias, Dan Roy

Sydney Poster Session 4, Wed, Dec 9, 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 2/5
medium 4/10
strict 2/5
86%Must read
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Cat-DPO: Category-Adaptive Safety Alignment

Cat-DPO applies per-category adaptive safety margins to direct preference optimization, improving aggregate safety and reducing worst-category harm gaps across models.

Tiankai Yang, Yi Nian, Xinyuan Li, Ruiyao Xu and 5 more

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

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14/20 AI panelreviewers recommend it

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
70%Highly rated
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High-dimensional Gaussian Graphical Model Testing for Long-Memory Time Series

A direct data-adaptive test for Gaussian graphical models in high-dimensional long-memory time series achieves asymptotic size and power consistency via block bootstrap.

Percy S. Zhai, Ping-Shou Zhong, Wei Biao Wu

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

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4/20 AI panelreviewers recommend it

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AI panel: 4 of 20 reviewers recommend it
lenient 2/5
medium 1/10
strict 1/5