Dahyun Kim

According to our database, Dahyun Kim authored at least 15 papers between 2019 and 2024.

Collaborative distances:

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

2024

Representing the Under-Represented: Cultural and Core Capability Benchmarks for Developing Thai Large Language Models.

Dahyun Kim, Sukyung Lee, Yungi Kim, Attapol Rutherford, Chanjun Park

CoRR, 2024

1 Trillion Token (1TT) Platform: A Novel Framework for Efficient Data Sharing and Compensation in Large Language Models.

Chanjun Park, Hyunsoo Ha, Jihoo Kim, Yungi Kim, Dahyun Kim, Sukyung Lee, Seonghoon Yang

CoRR, 2024

Evalverse: Unified and Accessible Library for Large Language Model Evaluation.

Jihoo Kim, Wonho Song, Dahyun Kim, Yunsu Kim, Yungi Kim, Chanjun Park

CoRR, 2024

Long-Tailed Recognition on Binary Networks by Calibrating A Pre-trained Model.

Jihun Kim, Dahyun Kim, Hyungrok Jung, Taeil Oh, Jonghyun Choi

CoRR, 2024

Dataverse: Open-Source ETL (Extract, Transform, Load) Pipeline for Large Language Models.

Hyunbyung Park, Sukyung Lee, Gyoungjin Gim, Yungi Kim, Dahyun Kim, Chanjun Park

CoRR, 2024

sDPO: Don't Use Your Data All at Once.

Dahyun Kim, Yungi Kim, Wonho Song, Hyeonwoo Kim, Yunsu Kim, Sanghoon Kim, Chanjun Park

CoRR, 2024

Model-Based Data-Centric AI: Bridging the Divide Between Academic Ideals and Industrial Pragmatism.

Chanjun Park, Minsoo Khang, Dahyun Kim

CoRR, 2024

SOLAR 10.7B: Scaling Large Language Models with Simple yet Effective Depth Up-Scaling.

Sanghoon Kim, Dahyun Kim, Chanjun Park, Wonsung Lee, Wonho Song, Yunsu Kim, Hyeonwoo Kim, Yungi Kim, Hyeonju Lee, Jihoo Kim, Changbae Ahn, Seonghoon Yang, Sukyung Lee, Hyunbyung Park, Gyoungjin Gim, Mikyoung Cha, Hwalsuk Lee, Sunghun Kim

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Industry Track, 2024

Open Ko-LLM Leaderboard: Evaluating Large Language Models in Korean with Ko-H5 Benchmark.

Chanjun Park, Hyeonwoo Kim, Dahyun Kim, Seonghwan Cho, Sanghoon Kim, Sukyung Lee, Yungi Kim, Hwalsuk Lee

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2022

Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference.

Hyunseo Koh, Dahyun Kim, Jung-Woo Ha, Jonghyun Choi

Proceedings of the Tenth International Conference on Learning Representations, 2022

Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning.

Dahyun Kim, Jonghyun Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Self-Supervised Learning for Binary Networks by Joint Classifier Training.

Dahyun Kim, Jonghyun Choi

CoRR, 2021

BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements.

Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi

CoRR, 2021

2020

Learning Architectures for Binary Networks.

Dahyun Kim, Kunal Pratap Singh, Jonghyun Choi

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence.

Dahyun Kim, Jihwan Bae, Yeonsik Jo, Jonghyun Choi

CoRR, 2019