Taehyeon Kim

35 papers A* 8Journal 24Unranked 3
YearRankTypeTitle / Venue / Authors
2026 J jnl
MERIT Feedback Elicits Better Bargaining in LLM Negotiators.
CoRR
Jihwan Oh, Murad Aghazada, Yooju Shin, Se-Young Yun, Taehyeon Kim
2025 J jnl
AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners.
CoRR
Woosung Koh, Wonbeen Oh, Jaein Jang, Minhyung Lee, Hyeongjin Kim, Ah Yeon Kim, Joonkee Kim, Junghyun Lee, Taehyeon Kim, Se-Young Yun
2025 — conf
C²: Scalable Auto-Feedback for LLM-based Chart Generation.
NAACL (Long Papers)
Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee
2025 J jnl
Guiding Reasoning in Small Language Models with LLM Assistance.
CoRR
Yujin Kim, Euiin Yi, Minu Kim, Se-Young Yun, Taehyeon Kim
2024 A* conf
Accelerating Blockwise Parallel Language Models with Draft Refinement.
NeurIPS
Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael D. Riley, Sanjiv Kumar, Adrian Benton
2024 A* conf
Block Transformer: Global-to-Local Language Modeling for Fast Inference.
NeurIPS
Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
2024 J jnl
Block Transformer: Global-to-Local Language Modeling for Fast Inference.
CoRR
Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun
2024 J jnl
C
CoRR
Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee
2024 J jnl
FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels.
Trans. Mach. Learn. Res.
Taehyeon Kim, Donggyu Kim, Se-Young Yun
2024 A* conf
Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions.
ICLR
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
2024 A* conf
Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning.
AAAI
Yongjin Yang, Taehyeon Kim, Se-Young Yun
2024 J jnl
Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization.
CoRR
Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann
2024 J jnl
Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels.
CoRR
Taehyeon Kim, Donggyu Kim, Se-Young Yun
2024 J jnl
Towards Fast Inference: Exploring and Improving Blockwise Parallel Drafts.
CoRR
Taehyeon Kim, Ananda Theertha Suresh, Kishore Papineni, Michael Riley, Sanjiv Kumar, Adrian Benton
2024 A* conf
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters.
EMNLP
Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun
2024 J jnl
Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters.
CoRR
Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun
2023 J jnl
Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions.
CoRR
Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun
2023 J jnl
Leveraging Normalization Layer in Adapters With Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning.
CoRR
Yongjin Yang, Taehyeon Kim, Se-Young Yun
2023 J jnl
Navigating Data Heterogeneity in Federated Learning A Semi-Supervised Approach for Object Detection.
CoRR
Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
2023 A* conf
Navigating Data Heterogeneity in Federated Learning: A Semi-Supervised Approach for Object Detection.
NeurIPS
Taehyeon Kim, Eric Lin, Junu Lee, Christian Lau, Vaikkunth Mugunthan
2022 J jnl
Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction.
CoRR
Taehyeon Kim, Namgyu Ho, Donggyu Kim, Se-Young Yun
2022 J jnl
Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces.
CoRR
Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun
2022 J jnl
Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition.
CoRR
Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun
2022 J jnl
Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search.
CoRR
Taehyeon Kim, Heesoo Myeong, Se-Young Yun
2022 J jnl
Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification.
IEEE Access
Taehyeon Kim, Se-Young Yun
2022 J jnl
SuperNet in Neural Architecture Search: A Taxonomic Survey.
CoRR
Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun
2022 J jnl
Supernet Training for Federated Image Classification under System Heterogeneity.
CoRR
Taehyeon Kim, Se-Young Yun
2021 A* conf
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.
IJCAI
Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
2021 J jnl
Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.
CoRR
Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun
2021 A* conf
FINE Samples for Learning with Noisy Labels.
NeurIPS
Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun
2021 J jnl
FINE Samples for Learning with Noisy Labels.
CoRR
Taehyeon Kim, Jongwoo Ko, Jinhwan Choi, Sangwook Cho, Se-Young Yun
2021 — conf
Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.
NeurIPS (Competition and Demos)
Aleksandra Gruca, Federico Serva, Llorenç Lliso, Pilar Rípodas, Xavier Calbet, Pedro Herruzo, Jirí Pihrt, Rudolf Raevskiy, Petr Simánek, Matej Choma, Yang Li, Haiyu Dong, Yury Belousov, Sergey Polezhaev, Brian Pulfer, Minseok Seo, Doyi Kim, Seungheon Shin, Eunbin Kim, Sewoong Ahn, Yeji Choi, Jinyoung Park, Minseok Son, Seungju Cho, Inyoung Lee, Changick Kim, Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun, Bertrand Le Saux, Michael K. Kopp, Sepp Hochreiter, David P. Kreil
2020 J jnl
Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.
CoRR
Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun
2020 J jnl
Adaptive Local Bayesian Optimization Over Multiple Discrete Variables.
CoRR
Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun
2019 — conf
Efficient Model for Image Classification With Regularization Tricks.
NeurIPS (Competition and Demos)
Taehyeon Kim, Jonghyup Kim, Seyoung Yun