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Showing papers from University of Michigan - Ann Arbor Show all papers

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VSPO: Vector-Steered Policy Optimization for Controllable Model Behavior

Xuechen Zhang, Zijian Huang, Kai Yang, Weijia Zhang 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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Self-Calibrated GUI Reward Model via Inverse Dynamic Modeling

Zeyi Sun, Shengyuan Ding, Xingpeng Xia, Jinsong Li 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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Refining Compositional Diffusion for Reliable Long-Horizon Planning

Kyowoon Lee, Yunhao Luo, Anh Tong, Jaesik Choi

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

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DyRA: Dynamic Residual Approximation for Efficient Matrix Multiplication in DNNs

Daewon Chae, Hyunwon Chung, Changwoo Lee, Hun-Seok Kim

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

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Distribution-First Framework for Learning Risk-Sensitive Individualized Treatment Rules

Zhen Fang, Guanting Chen, Yufeng Liu

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

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A low-rank decoder bottleneck bounds reliability in foundation-model perturbation prediction

Zheyu Zhang, Yuanhao Huang, Fan Feng, Jie Liu

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

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PolarScale: A Physics-Grounded Benchmark for Radiometrically Consistent RGB-to-Stokes Estimation

Beibei Lin, Tingting Chen, Xin Zhang, Wenhao Zhao 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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Fault Tolerant Coresets

Milind Prabhu, Chris Schwiegelshohn, Sudarshan Shyam

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

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The Geometry of Agent Skills: Non-Commutative Composition in Representation Space

Junda Wu, Yifan Wang, Zihan Huang, Xunyi Jiang and 5 more

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

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OS-Omni: A Cross-Platform Benchmark for Generalist Computer-Using Agents

Hui Shen, Yunta Hsieh, Jianing Ma, Ziyuan Liu and 36 more

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

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A Unified Semismooth Newton Approach to Multitask and Multivariate Square-Root Lasso Problems

Dongwon Kim, Taehyoung Kim, Sungdong Lee, Joong-Ho (Johann) Won

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

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Verify0: Can AI Agents Build Formally Verified Software Repositories?

Zhe Ye, Hantao Lou, Yuechun Sun, Peiyang Song and 7 more

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

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Improving Conditional Modeling via Inter-Class Likelihood-Ratio Maximization and Unifying Classifier-Free Guidance with Alignment Objectives

Xiang Li, Yixuan Jia, Xiao Li, Jeffrey Fessler and 2 more

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

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Can Ideologues Agree on Quality? From Non-identifiable Latent Factors to Collective Outcomes

David Gamba, Seura Ha, Daniel Romero, Grant Schoenebeck

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

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69%Highly rated
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BodyBench: Evaluating Adversarial Image Defenses Against AI Nudification Inpainting

Li Qiwei, Salma Abdel Magid, Olga Russakovsky, Eric Gilbert 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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AI panel: 3 of 20 reviewers recommend it
lenient 2/5
medium 1/10
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Agent-Native Research Artifacts

Jiachen Liu, Jiaxin Pei, Jintao Huang, Chenglei Si and 33 more

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

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NNCoxKL: Risk-Set Distillation from Probability-Free Prognostic Teachers for Deep Cox Models

Lingfeng Luo, Jeremy M Taylor, Di Wang, Feiyang Deng 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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Phase-wise MLLM Tuning for Multi-framework WebUI Code Generation

Haoran Ma, Linxiao Li, Chenyue Wang, Haochen Sui 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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Toward Executable Multi-framework Front-end Code Generation with Self-Correction

Linxiao Li, Haoran Ma, Chenyue Wang, Jiaye Lin 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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TaxaAdapter: Scaling Fine-grained Species Image Generation To the Tree of Life

Mridul Khurana, Amin Karimi Monsefi, Justin Lee, Medha Sawhney and 8 more

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

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Witness Overlap: Directional Provenance Inside Open-Weight Model Families

Siyuan Li, Haoxuan Zeng, Xin Luo, Fernando Jia and 5 more

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

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Chain-of-Generation: Progressive Latent Diffusion for Text-Guided Molecular Design

Chain-of-Generation progressively decomposes prompts into curriculum-ordered segments to guide multi-stage latent diffusion, improving text-aligned molecular design with greater controllability and interpretability.

Lingxiao Li, Haobo Zhang, Bin Chen, Jiayu Zhou

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

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 0/5
74%Highly rated
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SRL-MPC: Shape-Aware Reinforcement Learned Model Predictive Control

SRL-MPC integrates reinforcement-learned parameter updates with shape-aware model predictive control via geometric separation features to navigate dense heterogeneous robot crowds safely and adaptively.

Ruihua Han, Rui Gao, Zhe Liu, Xinyi WANG and 5 more

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

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AI panel: 9 of 20 reviewers recommend it
lenient 5/5
medium 4/10
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Stabilizing Policy Optimization via Logits Convexity

Logits convexity explains supervised fine-tuning stability versus RL instability, and the proposed LCO framework improves policy optimization stability and benchmark performance.

Hongzhan Chen, Tao Yang, Yuhua Zhu, Shiping Gao and 2 more

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

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AI panel: 13 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 0/5
72%Highly rated
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SierpinskiCam: Camera-Controlled Video Retaking with Sierpinski Triangle Pattern Cues

SierpinskiCam augments geometry guidance with Sierpinski dome texture cues and reference video conditioning to improve camera-controlled video retaking across large viewpoint changes.

Suttisak Wizadwongsa, Hyelin Nam, Supasorn Suwajanakorn, Jeong Joon Park

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

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AI panel: 8 of 20 reviewers recommend it
lenient 4/5
medium 4/10
strict 0/5
71%Highly rated
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The Score Kalman Filter

Score Kalman Filter avoids partition functions by combining score matching with Stein's identity to propagate polynomial moments via linear algebra for nonlinear filtering up to 20 dimensions with lower RMSE than EKF, UKF, EnKF, and particle filters.

Kaito Iwasaki, Anthony Bloch, Taeyoung Lee, Maani Ghaffari

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

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lenient 2/5
medium 5/10
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88%Must read
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Structural Rationale Distillation via Reasoning Space Compression

D-RPC distills reasoning via reusable reasoning paths to stabilize supervision, improving student performance with fewer tokens.

Jialin Yang, Jiankun Wang, Jiajun Wu, Henry Leung 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: 15 of 20 reviewers recommend it
lenient 4/5
medium 9/10
strict 2/5
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Calibration without labels in multiple testing

Multiple testing calibration uses p-value spacings as pseudo-labels to assess local false discovery rate forecasts without ground truth, revealing widespread q-value miscalibration.

Adway S Wadekar, Jake A Soloff

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

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lenient 2/5
medium 6/10
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AstraFlow: Dataflow-Oriented Reinforcement Learning for Agentic LLMs

AstraFlow is a dataflow-oriented RL system for agentic LLMs that decouples rollout, dataflow, and training to enable multi-policy collaborative training with 2.7x faster training.

Haizhong Zheng, Yizhuo Di, Jiahui Wang, Shuowei Jin and 6 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 15 on Hugging Face · Code ★ 105

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AI panel: 13 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 0/5
74%Highly rated
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Topological Periodicity Test (TopPT) via Confidence Bound of Time-Delay Embeddings

Time-delay embeddings of periodic signals are homotopy equivalent to circles, enabling TopPT, a hypothesis test with asymptotic error control for detecting periodicity via confidence-bounded persistence diagrams.

Donghyun Park, Junhyun An, Taehyoung Kim, Jisu Kim

Paris Poster Session 1, Wed, Dec 9, 12:30 PM–2:30 PM, Paris Poster Hall · Published 2026

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AI panel: 9 of 20 reviewers recommend it
lenient 2/5
medium 7/10
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86%Must read
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GenEnv: Difficulty-Aligned Co-Evolution Between LLM Agents and Environment Simulators

GenEnv co-evolves LLM agents with generative simulators via difficulty-aligned curricula, improving 7B agents by up to 40.3% with 3.3x less data.

Jiacheng Guo, Ling Yang, Peter Chen, Qixin Xiao and 4 more

Atlanta Poster Session 2, Wed, Dec 9, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 19 on Hugging Face · Code ★ 67

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AI panel: 14 of 20 reviewers recommend it
lenient 5/5
medium 8/10
strict 1/5
91%Must read
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SchemeArena: Factorized Stress Testing of Scheming in LLM Agents

SchemeArena introduces a 400-scenario benchmark and SCOUT monitor for factorized LLM agent scheming stress tests, finding explicit instrumental goals drive scheming most strongly and partial oversight can increase covert behavior.

Jie Ruan, Inderjeet Nair, Amy Liu, Muhammad Khalifa and 2 more

Atlanta Poster Session 3, Thu, Dec 10, 10:00 AM–1:00 PM, Hall C1 · Published 2026 · ▲ 11 on Hugging Face · Code ★ 1

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AI panel: 18 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 4/5
74%Highly rated
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From Collapse to Improvement: Statistical Perspectives on the Evolutionary Dynamics of Iterative Training on Contaminated Sources

Statistical analysis shows iterative training on contaminated synthetic data avoids model collapse and recovers the true distribution with sufficient fresh samples and appropriate mixture weights.

Soham Bakshi, Sunrit Chakraborty

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

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lenient 4/5
medium 4/10
strict 1/5
76%Highly rated
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Beyond Domains: Reusing Web Skills via Transferable Interaction Patterns

SkillMigrator learns reusable web skills via transferable interaction patterns matched by layout similarity to reduce LLM actions 8-10% across WebArena and Mind2Web.

Shiqi He, Yue Cui, Feijie Wu, Xinyu Ma and 4 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 4/5
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Learning to Trigger: Reinforcement Learning at the Large Hadron Collider

Reinforcement learning agents adapt Large Hadron Collider trigger thresholds online to maximize signal efficiency while maintaining background rates within tolerance bands, improving in-tolerance intervals by up to 56% on real CMS collision data without fine-tuning.

Zixin Ding, Shaghayegh Emami, Giovanna Salvi, Cecilia Tosciri and 6 more

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

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AI panel: 12 of 20 reviewers recommend it
lenient 5/5
medium 6/10
strict 1/5
76%Highly rated
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Evolutionary Feature Engineering for Structured Data

Evolutionary Feature Engineering uses LLM-based evolution to discover structured-data preprocessing transformations, reducing forecasting errors up to 19% and improving tabular predictions.

Ege Onur Taga, Yilin Zhuang, Muhammed Emrullah Ildiz, Petros Mol and 3 more

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

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AI panel: 10 of 20 reviewers recommend it
lenient 5/5
medium 4/10
strict 1/5
78%Highly rated
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Attention Sinks and Outliers in Attention Residuals

OASIS stabilizes dual-normalized attention-residual architectures via null routing and token-to-depth null coupling, reducing activation outliers by 81.75% and improving low-bit quantized reasoning by 42.11%.

Haozheng Luo, Haoran Dai, Shaoyang Zhang, Xi Chen and 9 more

Atlanta Poster Session 6, Fri, Dec 11, 4:30 PM–7:30 PM, Hall C1 · Published 2026 · ▲ 1 on Hugging Face · Code ★ 3

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AI panel: 11 of 20 reviewers recommend it
lenient 1/5
medium 8/10
strict 2/5
83%Must read
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Consistency as a Testable Property: Statistical Methods to Evaluate AI Agent Reliability

The paper proposes statistical consistency metrics for AI agents that reveal strategy breakdowns hidden by standard pass rates, isolating architectural reliability flaws.

Harsh Raj, Niranjan Orkat, Suvrorup Mukherjee, Aritra Guha 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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lenient 5/5
medium 7/10
strict 1/5
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Dual-Pathway Circuits of Object Hallucination in Vision-Language Models

Vision-language models contain separate visual grounding and hallucination pathways whose components flip polarity to drive errors, and suppressing them cuts object hallucination by up to 76%.

Jiaxin Liu, Ding Zhong, Yue Wang, Zhidong Yang and 5 more

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

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AI panel: 17 of 20 reviewers recommend it
lenient 5/5
medium 9/10
strict 3/5
74%Highly rated
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Model-Agnostic FDR Control via Group Gaussian Mirror and Permutation SHAP

A model-agnostic framework controls FDR for grouped features via block-level mirror statistics and permutation SHAP, ensuring reliable selection across linear and neural sequential models.

Jiaan Han, Junxiao Chen, Yanzhe Fu

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 2/5
medium 6/10
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