Hwichan Kim

23 papers A* 1B 1C 4Journal 7Unranked 10
YearRankTypeTitle / Venue / Authors
2026 A* conf
Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation.
AAAI
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi
2026 J jnl
Exploring the Effects of Alignment on Numerical Bias in Large Language Models.
CoRR
Ayako Sato, Hwichan Kim, Zhousi Chen, Masato Mita, Mamoru Komachi
2025 — conf
A Fair Comparison without Translationese: English vs. Target-language Instructions for Multilingual LLMs.
NAACL (Short Papers)
Taisei Enomoto, Hwichan Kim, Zhousi Chen, Mamoru Komachi
2025 J jnl
Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation.
CoRR
Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi
2024 — conf
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices.
LREC/COLING
Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda
2024 J jnl
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices.
CoRR
Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda
2024 J jnl
A Single Linear Yields Task-Adapted Low-Rank Matrices.
J. Nat. Lang. Process.
Hwichan Kim
2024 C conf
A Survey for LLM Tuning Methods:Classifying Approaches Based on Model Internal Accessibility.
PACLIC
Kyotaro Nakajima, Hwichan Kim, Tosho Hirasawa, Taisei Enomoto, Zhousi Chen, Mamoru Komachi
2024 C conf
DejaVu: Disambiguation evaluation dataset for English-JApanese machine translation on VisUal information.
PACLIC
Ayako Sato, Tosho Hirasawa, Hwichan Kim, Zhousi Chen, Teruaki Oka, Masato Mita, Mamoru Komachi
2024 — conf
Pruning Multilingual Large Language Models for Multilingual Inference.
EMNLP (Findings)
Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi
2024 J jnl
Pruning Multilingual Large Language Models for Multilingual Inference.
CoRR
Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi
2024 — conf
TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?
BEA
Taisei Enomoto, Hwichan Kim, Tosho Hirasawa, Yoshinari Nagai, Ayako Sato, Kyotaro Nakajima, Mamoru Komachi
2024 — conf
TMU-HIT's Submission for the WMT24 Quality Estimation Shared Task: Is GPT-4 a Good Evaluator for Machine Translation?
WMT
Ayako Sato, Kyotaro Nakajima, Hwichan Kim, Zhousi Chen, Mamoru Komachi
2023 — conf
Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation?
EACL (Findings)
Hiroto Tamura, Tosho Hirasawa, Hwichan Kim, Mamoru Komachi
2023 — conf
Enhancing Few-shot Cross-lingual Transfer with Target Language Peculiar Examples.
ACL (Findings)
Hwichan Kim, Mamoru Komachi
2023 J jnl
North Korean Neural Machine Translation through South Korean Resources.
ACM Trans. Asian Low Resour. Lang. Inf. Process.
Hwichan Kim, Tosho Hirasawa, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi
2023 C conf
Simultaneous Domain Adaptation of Tokenization and Machine Translation.
PACLIC
Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka, Mamoru Komachi
2022 B conf
Learning How to Translate North Korean through South Korean.
LREC
Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi
2022 J jnl
Learning How to Translate North Korean through South Korean.
CoRR
Hwichan Kim, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi
2021 C conf
Can Monolingual Pre-trained Encoder-Decoder Improve NMT for Distant Language Pairs?
PACLIC
Hwichan Kim, Mamoru Komachi
2021 — conf
TMU NMT System with Japanese BART for the Patent task of WAT 2021.
WAT@ACL/IJCNLP
Hwichan Kim, Mamoru Komachi
2020 — conf
Korean-to-Japanese Neural Machine Translation System using Hanja Information.
WAT@AAC/IJCNLPL
Hwichan Kim, Tosho Hirasawa, Mamoru Komachi
2020 — conf
Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition.
ACL (student)
Hwichan Kim, Tosho Hirasawa, Mamoru Komachi