Namgyu Ho

According to our database, Namgyu Ho authored at least 10 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models.

Seungone Kim, Juyoung Suk, Ji Yong Cho, Shayne Longpre, Chaeeun Kim, Dongkeun Yoon, Guijin Son, Yejin Choi, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, Minjoon Seo

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

CoRR, 2024

Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models.

Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sangmin Bae, Namgyu Ho, Sung Ju Hwang, Se-Young Yun

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Cross-Modal Retrieval Meets Inference: Improving Zero-Shot Classification with Cross-Modal Retrieval.

Seongha Eom, Namgyu Ho, Jaehoon Oh, Se-Young Yun

CoRR, 2023

HARE: Explainable Hate Speech Detection with Step-by-Step Reasoning.

Yongjin Yang, Joonkee Kim, Yujin Kim, Namgyu Ho, James Thorne, Se-Young Yun

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Large Language Models Are Reasoning Teachers.

Namgyu Ho, Laura Schmid, Se-Young Yun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

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

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

CoRR, 2022

Understanding Cross-Domain Few-Shot Learning: An Experimental Study.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

CoRR, 2022

Understanding Cross-Domain Few-Shot Learning Based on Domain Similarity and Few-Shot Difficulty.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ReFine: Re-randomization before Fine-tuning for Cross-domain Few-shot Learning.

Jaehoon Oh, Sungnyun Kim, Namgyu Ho, Jin-Hwa Kim, Hwanjun Song, Se-Young Yun

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