Taehyeon Kim

According to our database, Taehyeon Kim authored at least 26 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

LLM Agents for Bargaining with Utility-based Feedback.

Jihwan Oh, Murad Aghazada, Se-Young Yun, Taehyeon Kim

CoRR, May, 2025

AdaSTaR: Adaptive Data Sampling for Training Self-Taught Reasoners.

Woosung Koh, Wonbeen Oh, Jaein Jang, Minhyung Lee, Hyeongjin Kim, Ah Yeon Kim, Joonkee Kim, Junghyun Lee, Taehyeon Kim, Se-Young Yun

CoRR, May, 2025

Guiding Reasoning in Small Language Models with LLM Assistance.

Yujin Kim, Euiin Yi, Minu Kim, Se-Young Yun, Taehyeon Kim

CoRR, April, 2025

C²: Scalable Auto-Feedback for LLM-based Chart Generation.

Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-Young Yun, Youngjae Yu, Bongshin Lee

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

2024

FLR: Label-Mixture Regularization for Federated Learning with Noisy Labels.

Taehyeon Kim, Donggyu Kim, Se-Young Yun

Trans. Mach. Learn. Res., 2024

C²: Scalable Auto-Feedback for LLM-based Chart Generation.

Woosung Koh, Jang Han Yoon, Minhyung Lee, Youngjin Song, Jaegwan Cho, Jaehyun Kang, Taehyeon Kim, Se-young Yun, Youngjae Yu, Bongshin Lee

CoRR, 2024

Non-linear Fusion in Federated Learning: A Hypernetwork Approach to Federated Domain Generalization.

Marc Bartholet, Taehyeon Kim, Ami Beuret, Se-Young Yun, Joachim M. Buhmann

CoRR, 2024

Revisiting Early-Learning Regularization When Federated Learning Meets Noisy Labels.

Taehyeon Kim, Donggyu Kim, Se-Young Yun

CoRR, 2024

Block Transformer: Global-to-Local Language Modeling for Fast Inference.

Namgyu Ho, Sangmin Bae, Taehyeon Kim, Hyunjik Jo, Yireun Kim, Tal Schuster, Adam Fisch, James Thorne, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Instructive Decoding: Instruction-Tuned Large Language Models are Self-Refiner from Noisy Instructions.

Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Towards Fast Multilingual LLM Inference: Speculative Decoding and Specialized Drafters.

Euiin Yi, Taehyeon Kim, Hongseok Jeung, Du-Seong Chang, Se-Young Yun

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Leveraging Normalization Layer in Adapters with Progressive Learning and Adaptive Distillation for Cross-Domain Few-Shot Learning.

Yongjin Yang, Taehyeon Kim, Se-Young Yun

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Distort, Distract, Decode: Instruction-Tuned Model Can Refine its Response from Noisy Instructions.

Taehyeon Kim, Joonkee Kim, Gihun Lee, Se-Young Yun

CoRR, 2023

2022

Region-Conditioned Orthogonal 3D U-Net for Weather4Cast Competition.

Taehyeon Kim, Shinhwan Kang, Hyeonjeong Shin, Deukryeol Yoon, Seongha Eom, Kijung Shin, Se-Young Yun

CoRR, 2022

Benchmark Dataset for Precipitation Forecasting by Post-Processing the Numerical Weather Prediction.

Taehyeon Kim, Namgyu Ho, Donggyu Kim, Se-Young Yun

CoRR, 2022

Revisiting Architecture-aware Knowledge Distillation: Smaller Models and Faster Search.

Taehyeon Kim, Heesoo Myeong, Se-Young Yun

CoRR, 2022

Supernet Training for Federated Image Classification under System Heterogeneity.

Taehyeon Kim, Se-Young Yun

CoRR, 2022

SuperNet in Neural Architecture Search: A Taxonomic Survey.

Stephen Cha, Taehyeon Kim, Hayeon Lee, Se-Young Yun

CoRR, 2022

Mold into a Graph: Efficient Bayesian Optimization over Mixed-Spaces.

Jaeyeon Ahn, Taehyeon Kim, Seyoung Yun

CoRR, 2022

Revisiting Orthogonality Regularization: A Study for Convolutional Neural Networks in Image Classification.

Taehyeon Kim, Se-Young Yun

IEEE Access, 2022

2021

FINE Samples for Learning with Noisy Labels.

Taehyeon Kim, Jongwoo Ko, Sangwook Cho, Jinhwan Choi, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Weather4cast at NeurIPS 2022: Super-Resolution Rain Movie Prediction under Spatio-temporal Shifts.

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

Proceedings of the NeurIPS 2022 Competition Track, 2021

Comparing Kullback-Leibler Divergence and Mean Squared Error Loss in Knowledge Distillation.

Taehyeon Kim, Jaehoon Oh, Nakyil Kim, Sangwook Cho, Se-Young Yun

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

2020

Adaptive Local Bayesian Optimization Over Multiple Discrete Variables.

Taehyeon Kim, Jaeyeon Ahn, Nakyil Kim, Seyoung Yun

CoRR, 2020

Accurate and Fast Federated Learning via Combinatorial Multi-Armed Bandits.

Taehyeon Kim, Sangmin Bae, Jin-Woo Lee, Seyoung Yun

CoRR, 2020

2019

Efficient Model for Image Classification With Regularization Tricks.

Taehyeon Kim, Jonghyup Kim, Seyoung Yun

Proceedings of the NeurIPS 2019 Competition and Demonstration Track, 2019