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ORCIDHwichan Kim
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2020 – today
- 2026
[c16]Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation. AAAI 2026: 32867-32874- [i5]Ayako Sato, Hwichan Kim, Zhousi Chen, Masato Mita, Mamoru Komachi:
Exploring the Effects of Alignment on Numerical Bias in Large Language Models. CoRR abs/2601.16444 (2026) - 2025
- [c15]Taisei Enomoto, Hwichan Kim, Zhousi Chen, Mamoru Komachi:
A Fair Comparison without Translationese: English vs. Target-language Instructions for Multilingual LLMs. NAACL (Short Papers) 2025: 649-670 - [i4]Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation. CoRR abs/2511.09133 (2025) - 2024
- [j2]Hwichan Kim:
A Single Linear Yields Task-Adapted Low-Rank Matrices. J. Nat. Lang. Process. 31(3): 1406-1410 (2024) - [c14]Taisei Enomoto, Hwichan Kim, Tosho Hirasawa, Yoshinari Nagai, Ayako Sato, Kyotaro Nakajima, Mamoru Komachi:
TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification? BEA 2024: 590-598 - [c13]Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda:
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices. LREC/COLING 2024: 1602-1608 - [c12]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. EMNLP (Findings) 2024: 9921-9942 - [c11]Ayako Sato, Tosho Hirasawa, Hwichan Kim, Zhousi Chen, Teruaki Oka, Masato Mita, Mamoru Komachi:
DejaVu: Disambiguation evaluation dataset for English-JApanese machine translation on VisUal information. PACLIC 2024: 524-532 - [c10]Kyotaro Nakajima, Hwichan Kim, Tosho Hirasawa, Taisei Enomoto, Zhousi Chen, Mamoru Komachi:
A Survey for LLM Tuning Methods:Classifying Approaches Based on Model Internal Accessibility. PACLIC 2024: 542-555 - [c9]Ayako Sato, Kyotaro Nakajima, Hwichan Kim, Zhousi Chen, Mamoru Komachi:
TMU-HIT's Submission for the WMT24 Quality Estimation Shared Task: Is GPT-4 a Good Evaluator for Machine Translation? WMT 2024: 529-534 - [i3]Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda:
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices. CoRR abs/2403.14946 (2024) - [i2]Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi:
Pruning Multilingual Large Language Models for Multilingual Inference. CoRR abs/2409.16911 (2024) - 2023
- [j1]Hwichan Kim
, Tosho Hirasawa, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
North Korean Neural Machine Translation through South Korean Resources. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(9): 223:1-223:22 (2023) - [c8]Hwichan Kim, Mamoru Komachi:
Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples. ACL (Findings) 2023: 747-767 - [c7]Hiroto Tamura, Tosho Hirasawa, Hwichan Kim, Mamoru Komachi:
Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation? EACL (Findings) 2023: 2171-2180 - [c6]Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka, Mamoru Komachi:
Simultaneous Domain Adaptation of Tokenization and Machine Translation. PACLIC 2023: 36-45 - 2022
- [c5]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. LREC 2022: 6711-6718 - [i1]Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi:
Learning How to Translate North Korean through South Korean. CoRR abs/2201.11258 (2022) - 2021
- [c4]Hwichan Kim, Mamoru Komachi:
TMU NMT System with Japanese BART for the Patent task of WAT 2021. WAT@ACL/IJCNLP 2021: 133-137 - [c3]Hwichan Kim, Mamoru Komachi:
Can Monolingual Pre-trained Encoder-Decoder Improve NMT for Distant Language Pairs? PACLIC 2021: 235-243 - 2020
- [c2]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition. ACL (student) 2020: 72-78 - [c1]Hwichan Kim, Tosho Hirasawa, Mamoru Komachi:
Korean-to-Japanese Neural Machine Translation System using Hanja Information. WAT@AAC/IJCNLPL 2020: 127-134
Coauthor Index
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