PPaperPicks

Sharon Li

University of Wisconsin-Madison, Department of Computer Sciences, Madison, WI, USA

44 papers at tracked venues · 44 at CORE A* · active 2024–2026

DBLP profile ↗ORCID 0000-0003-3479-4323 ↗Google Scholar ↗Homepage ↗

Venues

NeurIPS ×15ACL ×10ICLR ×8ICML ×8AAAI ×1CVPR ×1WWW ×1

Frequent coauthors

Xuefeng Du
×7
Seongheon Park
×6
Shawn Im
×6
Hyeong Kyu Choi
×5
Changdae Oh
×5
Samuel (Min-Hsuan) Yeh
×4
Haobo Wang
×4
Yifei Ming
×4
Wendi Li
×3
Junbo Zhao
×3
Hongxin Wei
×3
Leitian Tao
×3

Papers

  1. GeoArena: Evaluating Open-World Geographic Reasoning in Large Vision-Language Models
    ACL 2026 ·
    Pengyue Jia
    ,
    Yingyi Zhang
    ,
    Xiangyu Zhao
    , Sharon Li
  2. How Retrieved Context Shapes Internal Representations in RAG
    ACL 2026 ·
    Samuel Yeh
    , Sharon Li
  3. LAD: Learning Advantage Distribution for Reasoning
    ACL 2026 ·
    Wendi Li
    , Sharon Li
  4. ModeX: Evaluator-Free Best-of-N Selection for Open-Ended Generation
    ACL 2026 ·
    Hyeong Kyu Choi
    , Sharon Li
  5. Uncertainty Quantification in LLM Agents: Foundations, Emerging Challenges, and Opportunities
    ACL 2026 ·
    Changdae Oh
    ,
    Seongheon Park
    ,
    To Eun Kim
    ,
    Jiatong Li
    ,
    Wendi Li
    ,
    Samuel Yeh
    ,
    Sean Du
    ,
    Hamed Hassani
    ,
    Paul Bogdan
    ,
    Dawn Song
    , Sharon Li
  6. VAUQ: Vision-Aware Uncertainty Quantification for LVLM Self-Evaluation
    ACL 2026 ·
    Seongheon Park
    ,
    Changdae Oh
    ,
    Hyeong Kyu Choi
    ,
    Sean Du
    , Sharon Li
  7. When Identity Skews Debate: Anonymization for Bias-Reduced Multi-Agent Reasoning
    ACL 2026 ·
    Hyeong Kyu Choi
    ,
    Xiaojin (Jerry) Zhu
    , Sharon Li
  8. Why Multimodal In-Context Learning Lags Behind? Unveiling the Inner Mechanisms and Bottlenecks
    ACL 2026 ·
    Yu Wang
    , Sharon Li
  9. CONDA: Adaptive Concept Bottleneck for Foundation Models Under Distribution Shifts
    ICLR 2025 ·
    Jihye Choi
    ,
    Jayaram Raghuram
    , Yixuan Li,
    Somesh Jha
  10. Can DPO Learn Diverse Human Values? A Theoretical Scaling Law
    NeurIPS 2025 ·
    Shawn Im
    , Sharon Li
  11. Clean First, Align Later: Benchmarking Preference Data Cleaning for Reliable LLM Alignment
    NeurIPS 2025 ·
    Samuel Yeh
    , Sharon Li
  12. DaWin: Training-free Dynamic Weight Interpolation for Robust Adaptation
    ICLR 2025 ·
    Changdae Oh
    , Yixuan Li,
    Kyungwoo Song
    ,
    Sangdoo Yun
    ,
    Dongyoon Han
  13. Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
    NeurIPS 2025 ·
    Hyeong Kyu Choi
    ,
    Xiaojin Zhu
    , Sharon Li
  14. GLSim: Detecting Object Hallucinations in LVLMs via Global-Local Similarity
    NeurIPS 2025 ·
    Seongheon Park
    , Sharon Li
  15. GeoRanker: Distance-Aware Ranking for Worldwide Image Geolocalization
    NeurIPS 2025 ·
    Pengyue Jia
    ,
    Seongheon Park
    ,
    Song Gao
    ,
    Xiangyu Zhao
    , Sharon Li
  16. Harnessing Feature Resonance under Arbitrary Target Alignment for Out-of-Distribution Node Detection
    NeurIPS 2025 ·
    Shenzhi Yang
    ,
    Junbo Zhao
    , Sharon Li,
    Shouqing Yang
    ,
    Dingyu Yang
    ,
    Xiaofang Zhang
    ,
    Haobo Wang
  17. How Contaminated Is Your Benchmark? Measuring Dataset Leakage in Large Language Models with Kernel Divergence
    ICML 2025 ·
    Hyeong Kyu Choi
    ,
    Maxim Khanov
    ,
    Hongxin Wei
    , Yixuan Li
  18. Limited Preference Data? Learning Better Reward Model with Latent Space Synthesis
    NeurIPS 2025 ·
    Leitian Tao
    ,
    Xuefeng Du
    , Sharon Li
  19. MetaMind: Modeling Human Social Thoughts with Metacognitive Multi-Agent Systems
    NeurIPS 2025 ·
    Xuanming Zhang
    ,
    Yuxuan Chen
    ,
    Samuel (Min-Hsuan) Yeh
    , Sharon Li
  20. Position: Challenges and Future Directions of Data-Centric AI Alignment
    ICML 2025 ·
    Min-Hsuan Yeh
    ,
    Jeffrey Wang
    ,
    Xuefeng Du
    ,
    Seongheon Park
    ,
    Leitian Tao
    ,
    Shawn Im
    , Yixuan Li
  21. Process Reward Model with Q-value Rankings
    ICLR 2025 ·
    Wendi Li
    , Yixuan Li
  22. Prompt Candidates, then Distill: A Teacher-Student Framework for LLM-driven Data Annotation
    ACL 2025 ·
    Mingxuan Xia
    ,
    Haobo Wang
    , Yixuan Li,
    Zewei Yu
    ,
    Jindong Wang
    ,
    Junbo Zhao
    ,
    Runze Wu
  23. Steer LLM Latents for Hallucination Detection
    ICML 2025 ·
    Seongheon Park
    ,
    Xuefeng Du
    ,
    Min-Hsuan Yeh
    ,
    Haobo Wang
    , Yixuan Li
  24. Towards Interpretability Without Sacrifice: Faithful Dense Layer Decomposition with Mixture of Decoders
    NeurIPS 2025 ·
    James Oldfield
    ,
    Shawn Im
    , Sharon Li,
    Mihalis A. Nicolaou
    ,
    Ioannis Patras
    ,
    Grigorios Chrysos
  25. Understanding Multimodal LLMs Under Distribution Shifts: An Information-Theoretic Approach
    ICML 2025 ·
    Changdae Oh
    ,
    Zhen Fang
    ,
    Shawn Im
    ,
    Xuefeng Du
    , Yixuan Li
  26. Understanding and Mitigating Miscalibration in Prompt Tuning for Vision-Language Models
    ICML 2025 ·
    Shuoyuan Wang
    , Yixuan Li,
    Hongxin Wei
  27. Unsolvable Problem Detection: Robust Understanding Evaluation for Large Multimodal Models
    ACL 2025 ·
    Atsuyuki Miyai
    ,
    Jingkang Yang
    ,
    Jingyang Zhang
    ,
    Yifei Ming
    ,
    Qing Yu
    ,
    Go Irie
    , Yixuan Li,
    Hai Helen Li
    ,
    Ziwei Liu
    ,
    Kiyoharu Aizawa
  28. Visual Instruction Bottleneck Tuning
    NeurIPS 2025 ·
    Changdae Oh
    ,
    Jiatong Li
    ,
    Shawn Im
    , Sharon Li
  29. Your Pre-trained LLM is Secretly an Unsupervised Confidence Calibrator
    NeurIPS 2025 ·
    Beier Luo
    ,
    Shuoyuan Wang
    , Sharon Li,
    Hongxin Wei
  30. Your Weak LLM is Secretly a Strong Teacher for Alignment
    ICLR 2025 ·
    Leitian Tao
    , Yixuan Li
  31. ARGS: Alignment as Reward-Guided Search
    ICLR 2024 ·
    Maxim Khanov
    ,
    Jirayu Burapacheep
    , Yixuan Li
  32. BackdoorAlign: Mitigating Fine-tuning based Jailbreak Attack with Backdoor Enhanced Safety Alignment
    NeurIPS 2024 ·
    Jiongxiao Wang
    ,
    Jiazhao Li
    ,
    Yiquan Li
    ,
    Xiangyu Qi
    ,
    Junjie Hu
    , Sharon Li,
    Patrick McDaniel
    ,
    Muhao Chen
    ,
    Bo Li
    ,
    Chaowei Xiao
  33. Bridging OOD Detection and Generalization: A Graph-Theoretic View
    NeurIPS 2024 ·
    Han Wang
    , Sharon Li
  34. ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
    ICLR 2024 ·
    Bo Peng
    ,
    Yadan Luo
    ,
    Yonggang Zhang
    , Yixuan Li,
    Zhen Fang
  35. DCAI: Data-centric Artificial Intelligence
    WWW 2024 ·
    Wei Jin
    ,
    Haohan Wang
    ,
    Daochen Zha
    ,
    Qiaoyu Tan
    ,
    Yao Ma
    , Sharon Li,
    Su-In Lee
  36. HYPO: Hyperspherical Out-Of-Distribution Generalization
    ICLR 2024 ·
    Haoyue Bai
    ,
    Yifei Ming
    ,
    Julian Katz-Samuels
    , Yixuan Li
  37. HaloScope: Harnessing Unlabeled LLM Generations for Hallucination Detection
    NeurIPS 2024 ·
    Xuefeng Du
    ,
    Chaowei Xiao
    , Sharon Li
  38. How Does Unlabeled Data Provably Help Out-of-Distribution Detection?
    ICLR 2024 ·
    Xuefeng Du
    ,
    Zhen Fang
    ,
    Ilias Diakonikolas
    , Yixuan Li
  39. How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?
    AAAI 2024 ·
    Soumya Suvra Ghosal
    ,
    Yiyou Sun
    , Yixuan Li
  40. Is A Picture Worth A Thousand Words? Delving Into Spatial Reasoning for Vision Language Models
    NeurIPS 2024 ·
    Jiayu Wang
    ,
    Yifei Ming
    ,
    Zhenmei Shi
    ,
    Vibhav Vineet
    ,
    Xin Wang
    , Sharon Li,
    Neel Joshi
  41. Targeted Representation Alignment for Open-World Semi-Supervised Learning
    CVPR 2024 ·
    Ruixuan Xiao
    ,
    Lei Feng
    ,
    Kai Tang
    ,
    Junbo Zhao
    , Yixuan Li,
    Gang Chen
    ,
    Haobo Wang
  42. Understanding Retrieval-Augmented Task Adaptation for Vision-Language Models
    ICML 2024 ·
    Yifei Ming
    , Yixuan Li
  43. Understanding the Learning Dynamics of Alignment with Human Feedback
    ICML 2024 ·
    Shawn Im
    , Yixuan Li
  44. When and How Does In-Distribution Label Help Out-of-Distribution Detection?
    ICML 2024 ·
    Xuefeng Du
    ,
    Yiyou Sun
    , Yixuan Li