Dongyeop Kang

Venues

Frequent coauthors

Papers

1. Abstain-R1: Calibrated Abstention and Post-Refusal Clarification via Verifiable RL
   ACL 2026 ·

   Haotian Zhai

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2. Align to Structure: Aligning Large Language Models with Structural Information
   AAAI 2026 ·

   Zae Myung Kim

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3. Becoming Experienced Judges: Selective Test-Time Learning for Evaluators
   EACL 2026 ·

   Seungyeon Jwa

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4. Breaking Determinism: Stochastic Modeling for Reliable Off-Policy Evaluation in Ad Auctions
   WSDM 2026 ·

   Hongseon Yeom

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5. Mary, the Cheeseburger-Eating Vegetarian: Do LLMs Recognize Incoherence in Narratives?
   EACL 2026 ·

   Karin de Langis

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6. Reasoning Beyond Literal: Cross-style Multimodal Reasoning for Figurative Language Understanding
   EACL 2026 ·

   Seyyed Saeid Cheshmi

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7. Scaling Unverifiable Rewards: A Case Study on Visual Insights
   ACL 2026 ·

   Shuyu Gan

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8. ScholaWrite: A Dataset of End-to-End Scholarly Writing
   ACL 2026 ·

   Khanh Chi Le

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9. Strong Memory, Weak Control: An Empirical Study of Executive Functioning in LLMs
   EACL 2026 ·

   Karin de Langis

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10. When Thoughts Meet Facts: Reusable Reasoning for Long-Context LMs
    ACL 2026 ·

    Soyeong Jeong

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11. BBScoreV2: Learning Time-Evolution and Latent Alignment from Stochastic Representation
    EMNLP 2025 ·

    Tianhao Zhang

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12. Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models
    AAAI 2025 ·

    Shirley Anugrah Hayati

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13. How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs
    ACL 2025 ·

    Karin de Langis

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14. ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO
    AAAI 2025 ·

    Daechul Ahn

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15. Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment
    ICLR 2025 ·

    Chenliang Li

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16. Learning a High-Quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum
    ICRA 2025 ·

    Yihong Liu

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17. RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models
    ICML 2025 ·

    Quan Wei

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18. BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence
    AAAI 2024 ·

    Zhecheng Sheng

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19. Benchmarking Cognitive Biases in Large Language Models as Evaluators
    ACL 2024 ·

    Ryan Koo

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20. Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants - The Third Workshop on Intelligent and Interactive Writing Assistants
    CHI 2024 ·

    Minsuk Chang

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21. Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation
    EMNLP 2024 ·

    Karin de Langis

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22. How Far Can We Extract Diverse Perspectives from Large Language Models?
    EMNLP 2024 ·

    Shirley Anugrah Hayati

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23. II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering
    ACL 2024 ·

    Jihyung Kil

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24. LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech
    InterSpeech 2024 ·

    Haechan Kim

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25. Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract)
    AAAI 2024 ·

    Ryan Koo

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26. Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs
    ACL 2024 ·

    Zae Myung Kim

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27. Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback
    ACL 2024 ·

    Daechul Ahn

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28. Which Modality should I use - Text, Motif, or Image? : Understanding Graphs with Large Language Models
    NAACL 2024 ·

    Debarati Das

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