Most recent publications on Google Scholar.
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Correct Answers from Sound Reasoning: Verifiable Process Supervision for Language Models
K. Kim, K. Wang, Y. Xie, P. Xu, P. Sheng, C. Wei, Z. Wang, J. Shin, P. Viswanath, S. Oh.
arXiv:2605.12519.
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RedacBench: Can AI Erase Your Secrets?
H. Jeon, K. Kim, J. Shin.
ICLR 2026.
Paper
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Self-Refining Language Model Anonymizers via Adversarial Distillation
K. Kim‡, H. Jeon‡, J. Shin.
NeurIPS 2025.
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Personalized Language Models via Privacy-Preserving Evolutionary Model Merging
K. Kim, J. Shin, J. Kim.
EMNLP 2025 (oral).
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Code
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Mamba Drafters for Speculative Decoding
D. Choi, S. Oh, S. Dingliwal, J. Tack, K. Kim, W. Song, S. Kim, I. Han, J. Shin, A. Galstyan, S. Katiyar, S. B. Bodapati.
EMNLP 2025 Findings.
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Learning to Contextualize Web Pages for Enhanced Decision Making by LLM Agents
D. Lee‡, J. Lee‡, K. Kim, J. Tack, J. Shin, Y. W. Teh, K. Lee.
ICLR 2025.
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Code
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Optimized Feature Generation for Tabular Data via LLMs with Decision Tree Reasoning
J. Nam‡, K. Kim‡, S. Oh, J. Tack, J. Kim, J. Shin.
NeurIPS 2024.
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Code
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Margin Matching Preference Optimization: Enhanced Model Alignment with Granular Feedback
K. Kim‡, A. Seo‡, H. Liu, J. Shin, K. Lee.
EMNLP 2024 Findings.
Paper
Code
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Confidence-aware Reward Optimization for Fine-tuning Text-to-Image Models
K. Kim, J. Jeong, M. An, M. Ghavamzadeh, K. Dvijotham, J. Shin, K. Lee.
ICLR 2024.
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Data
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Adaptive Algorithms for Efficient Risk Estimation of Black-Box Systems
K. Kim.
MS thesis, Stanford University.
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A Deep Reinforcement Learning Approach to Rare Event Estimation
A. Corso, K. Kim, S. Gupta, G. Gao, M. Kochenderfer.
arXiv:2211.12470.
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Code
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BEHAVIOR-1K: A Benchmark for Embodied AI with 1,000 Everyday Activities and Realistic Simulation
C. Li, C. Gokmen, G. Levine, R. Martín-Martín, S. Srivastava, C. Wang, J. Wong, R. Zhang, M. Lingelbach, J. Sun, M. Anvari, M. Hwang, M. Sharma, A. Aydin, D. Bansal, S. Hunter, K. Kim, A. Lou, C. Matthews, I. Villa-Renteria, J. Tang, C. Tang, F. Xia, S. Savarese, H. Gweon, K. Liu, J. Wu, F.-F. Li.
CoRL 2022 (oral).
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Code
Data
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Using Machine Translation to Localize Task Oriented NLG Output
S. Roy, C. Brunk, K. Kim, J. Zhao, M. Freitag, M. Kale, G. Bansal, S. Mudgal, C. Varano.
arXiv:2107.04512.
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Taskmaster-1: Toward a Realistic and Diverse Dialog Dataset
B. Byrne, K. Krishnamoorthi, C. Sankar, A. Neelakantan, D. Duckworth, S. Yavuz, B. Goodrich, A. Dubey, A. Cedilnik, K. Kim.
EMNLP-IJCNLP 2019.
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Data
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Finding Overlapping Communities From Subspaces
D. Bindel, P. Chew, J. Hopcroft, K. Kim, C. Ponce.
Technical Report 2011.
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