Moontae Lee

Venues

Frequent coauthors

Papers

1. Adaptive Retrieval for Reasoning
   ACL 2026 ·

   Jongho Kim

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2. DuET: Dual Execution for Test Output Prediction with Generated Code and Pseudocode
   ACL 2026 ·

   Hojae Han

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3. Efficiently Learning To Reason or Not to Reason: Root-token Policy Optimization for Adaptive Thinking
   ACL 2026 ·

   Taehyeon Kim

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4. IRPO: Implicit Policy Regularized Preference Optimization
   EACL 2026 ·

   Youngsoo Jang

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5. 3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
   AAAI 2025 ·

   Sungjun Cho

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6. Counterfactual Voting Adjustment for Quality Assessment and Fairer Voting in Online Platforms with Helpfulness Evaluation
   ICML 2025 ·

   Chang Liu

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7. Learning to Explore and Select for Coverage-Conditioned Retrieval-Augmented Generation
   NAACL 2025 ·

   Takyoung Kim

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8. MLRC-Bench: Can Language Agents Solve Machine Learning Research Challenges?
   NeurIPS 2025 ·

   Yunxiang Zhang

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9. Mind the Blind Spots: A Focus-Level Evaluation Framework for LLM Reviews
   EMNLP 2025 ·

   Hyungyu Shin

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10. One Missing Piece for Open-Source Reasoning Models: A Dataset to Mitigate Cold-Starting Short CoT LLMs in RL
    ACL 2025 ·

    Hyungjoo Chae

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11. Overlapping Context with Variable-Length Stride Increases Diversity when Training Large Language Model for Code
    ACL 2025 ·

    Geonmo Gu

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12. PANORAMA: A Dataset and Benchmarks Capturing Decision Trails and Rationales in Patent Examination
    NeurIPS 2025 ·

    Hyunseung Lim

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13. Revisiting LLM Value Probing Strategies: Are They Robust and Expressive?
    EMNLP 2025 ·

    Siqi Shen

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14. Shifting from Ranking to Set Selection for Retrieval Augmented Generation
    ACL 2025 ·

    Dahyun Lee

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15. The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models
    NAACL 2025 ·

    Seungone Kim

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16. Towards Robust and Parameter-Efficient Knowledge Unlearning for LLMs
    ICLR 2025 ·

    Sungmin Cha

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17. Training-free Detection of AI-generated images via Cropping Robustness
    NeurIPS 2025 ·

    Sungik Choi

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18. Code Models are Zero-shot Precondition Reasoners
    NAACL 2024 ·

    Lajanugen Logeswaran

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19. Degeneration-free Policy Optimization: RL Fine-Tuning for Language Models without Degeneration
    ICML 2024 ·

    Youngsoo Jang

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20. Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers
    AAAI 2024 ·

    Sungmin Cha

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21. Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models
    EMNLP 2024 ·

    Seungone Kim

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22. Prospector: Improving LLM Agents with Self-Asking and Trajectory Ranking
    EMNLP 2024 ·

    Byoungjip Kim

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23. Semantic Skill Grounding for Embodied Instruction-Following in Cross-Domain Environments
    ACL 2024 ·

    Sangwoo Shin

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24. Show, Think, and Tell: Thought-Augmented Fine-Tuning of Large Language Models for Video Captioning
    CVPR 2024 ·

    Byoungjip Kim

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25. Small Language Models Need Strong Verifiers to Self-Correct Reasoning
    ACL 2024 ·

    Yunxiang Zhang

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26. Understanding the Capabilities and Limitations of Large Language Models for Cultural Commonsense
    NAACL 2024 ·

    Siqi Shen

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27. When "A Helpful Assistant" Is Not Really Helpful: Personas in System Prompts Do Not Improve Performances of Large Language Models
    EMNLP 2024 ·

    Mingqian Zheng

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28. YTCommentQA: Video Question Answerability in Instructional Videos
    AAAI 2024 ·

    Saelyne Yang

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29. You don't need a personality test to know these models are unreliable: Assessing the Reliability of Large Language Models on Psychometric Instruments
    NAACL 2024 ·

    Bangzhao Shu

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