Yungi Kim

According to our database, Yungi Kim authored at least 14 papers between 2022 and 2024.

Collaborative distances:

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

2024

Open Ko-LLM Leaderboard2: Bridging Foundational and Practical Evaluation for Korean LLMs.

Hyeonwoo Kim, Dahyun Kim, Jihoo Kim, Sukyung Lee, Yungi Kim, Chanjun Park

CoRR, 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

InstaTrans: An Instruction-Aware Translation Framework for Non-English Instruction Datasets.

Yungi Kim, 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

Rethinking KenLM: Good and Bad Model Ensembles for Efficient Text Quality Filtering in Large Web Corpora.

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

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

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

MONET: Modality-Embracing Graph Convolutional Network and Target-Aware Attention for Multimedia Recommendation.

Yungi Kim, Taeri Kim, Won-Yong Shin, Sang-Wook Kim

Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 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

SAAS: Solving Ability Amplification Strategy for Enhanced Mathematical Reasoning in Large Language Models.

Hyeonwoo Kim, Gyoungjin Gim, Yungi Kim, Jihoo Kim, Byungju Kim, Wonseok Lee, Chanjun Park

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

AiRS: A Large-Scale Recommender System at NAVER News.

Hongjun Lim, Yeon-Chang Lee, Jin-Seo Lee, Sanggyu Han, Seunghyeon Kim, Yeon Jeong Jeong, Changbong Kim, Jaehun Kim, Sunghoon Han, Solbi Choi, Hanjong Ko, Dokyeong Lee, Jaeho Choi, Yungi Kim, Hong-Kyun Bae, Taeho Kim, Jeewon Ahn, Hyun-Soung You, Sang-Wook Kim

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Is It Enough Just Looking at the Title?: Leveraging Body Text To Enrich Title Words Towards Accurate News Recommendation.

Taeho Kim, Yungi Kim, Yeon-Chang Lee, Won-Yong Shin, Sang-Wook Kim

Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022