PPaperPicks

Honglak Lee

University of Michigan, Ann Arbor, USA

31 papers at tracked venues · 21 at CORE A* · active 2024–2026

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Venues

AAAI ×4ACL ×4CVPR ×4EMNLP ×4NeurIPS ×4NAACL ×3EACL ×2ICML ×2ECCV ×1ICCV ×1ICLR ×1SIGKDD ×1

Frequent coauthors

Tiange Luo
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Yao Fu
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Youngsoo Jang
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Xingjian Zhang
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Yunxiang Zhang
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Siqi Shen
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Byoungjip Kim
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Sungjun Cho
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Heeju Ko
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Anthony Zhe Liu
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Sangkyu Lee
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Yunseok Jang
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Papers

  1. Beyond Blind Following: Evaluating Robustness of LLM Agents under Imperfect Guidance
    EACL 2026 ·
    Yao Fu
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  2. IRPO: Implicit Policy Regularized Preference Optimization
    EACL 2026 ·
    Youngsoo Jang
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  3. 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
    AAAI 2025 ·
    Sungjun Cho
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  4. Active Test-time Vision-Language Navigation
    NeurIPS 2025 ·
    Heeju Ko
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  5. Interactive and Expressive Code-Augmented Planning with Large Language Models
    ACL 2025 ·
    Anthony Zhe Liu
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  6. KL Penalty Control via Perturbation for Direct Preference Optimization
    NeurIPS 2025 ·
    Sangkyu Lee
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  7. MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
    NAACL 2025 ·
    Xingjian Zhang
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  8. MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
    NeurIPS 2025 ·
    Yunxiang Zhang
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  9. MapExplorer: New Content Generation from Low-Dimensional Visualizations
    SIGKDD 2025 ·
    Xingjian Zhang
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  10. Probing Visual Language Priors in VLMs
    ICML 2025 ·
    Tiange Luo
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  11. Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
    EMNLP 2025 ·
    Siqi Shen
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  12. Scalable Video-to-Dataset Generation for Cross-Platform Mobile Agents
    CVPR 2025 ·
    Yunseok Jang
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  13. Step-Calibrated Diffusion for Biomedical Optical Image Restoration
    AAAI 2025 ·
    Yiwei Lyu
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  14. Subtask-Aware Visual Reward Learning from Segmented Demonstrations
    ICLR 2025 ·
    Changyeon Kim
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  15. Visual Test-Time Scaling for GUI Agent Grounding
    ICCV 2025 ·
    Tiange Luo
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  16. Auto-Intent: Automated Intent Discovery and Self-Exploration for Large Language Model Web Agents
    EMNLP 2024 ·
    Jaekyeom Kim
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  17. AutoGuide: Automated Generation and Selection of Context-Aware Guidelines for Large Language Model Agents
    NeurIPS 2024 ·
    Yao Fu
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  18. Code Models are Zero-shot Precondition Reasoners
    NAACL 2024 ·
    Lajanugen Logeswaran
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  19. Deep Exploration of Cross-Lingual Zero-Shot Generalization in Instruction Tuning
    ACL 2024 ·
    Janghoon Han
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  20. Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
    ICML 2024 ·
    Youngsoo Jang
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  21. Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks
    EMNLP 2024 ·
    Changho Lee
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  22. Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
    AAAI 2024 ·
    Sungmin Cha
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  23. Mitigating Biases for Instruction-following Language Models via Bias Neurons Elimination
    ACL 2024 ·
    Nakyeong Yang
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  24. NICE: CVPR 2023 Challenge on Zero-shot Image Captioning
    CVPR 2024 ·
    Taehoon Kim
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  25. Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
    EMNLP 2024 ·
    Byoungjip Kim
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  26. Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning
    CVPR 2024 ·
    Byoungjip Kim
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  27. Small Language Models Need Strong Verifiers to Self-Correct Reasoning
    ACL 2024 ·
    Yunxiang Zhang
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  28. Super-resolution of biomedical volumes with 2D supervision
    CVPR 2024 ·
    Cheng Jiang
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  29. Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
    NAACL 2024 ·
    Siqi Shen
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  30. Unsupervised Object Interaction Learning with Counterfactual Dynamics Models
    AAAI 2024 ·
    Jongwook Choi
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  31. View Selection for 3D Captioning via Diffusion Ranking
    ECCV 2024 ·
    Tiange Luo
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