Tosho Hirasawa

According to our database, Tosho Hirasawa authored at least 33 papers between 2019 and 2026.

Collaborative distances:

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

2026

Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge.

Yuzheng Xu, Tosho Hirasawa, Tadashi Kozuno, Yoshitaka Ushiku

CoRR, February, 2026

WarrantScore: Modeling Warrants between Claims and Evidence for Substantiation Evaluation in Peer Reviews.

Kiyotada Mori, Shohei Tanaka, Tosho Hirasawa, Tadashi Kozuno, Koichiro Yoshino, Yoshitaka Ushiku

CoRR, January, 2026

Evaluating the Capability of Video Question Generation for Expert Knowledge Elicitation.

Huaying Zhang, Atsushi Hashimoto, Tosho Hirasawa

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

Assessing the Capabilities of LLMs in Humor: A Multi-dimensional Analysis of Oogiri Generation and Evaluation.

Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 2026

2025

SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts.

Shun Inadumi, Shohei Tanaka, Tosho Hirasawa, Atsushi Hashimoto, Koichiro Yoshino, Yoshitaka Ushiku

CoRR, November, 2025

AlignBench: Benchmarking Fine-Grained Image-Text Alignment with Synthetic Image-Caption Pairs.

Kuniaki Saito, Risa Shinoda, Shohei Tanaka, Tosho Hirasawa, Fumio Okura, Yoshitaka Ushiku

CoRR, November, 2025

Assessing the Capabilities of LLMs in Humor:A Multi-dimensional Analysis of Oogiri Generation and Evaluation.

Ritsu Sakabe, Hwichan Kim, Tosho Hirasawa, Mamoru Komachi

CoRR, November, 2025

MK2 at PBIG Competition: A Prompt Generation Solution.

Yuzheng Xu, Tosho Hirasawa, Seiya Kawano, Shota Kato, Tadashi Kozuno

CoRR, July, 2025

2024

SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images.

Risa Shinoda, Kuniaki Saito, Shohei Tanaka, Tosho Hirasawa, Yoshitaka Ushiku

CoRR, 2024

DejaVu: Disambiguation evaluation dataset for English-JApanese machine translation on VisUal information.

Ayako Sato, Tosho Hirasawa, Hwichan Kim, Zhousi Chen, Teruaki Oka, Masato Mita, Mamoru Komachi

Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024

A Survey for LLM Tuning Methods:Classifying Approaches Based on Model Internal Accessibility.

Kyotaro Nakajima, Hwichan Kim, Tosho Hirasawa, Taisei Enomoto, Zhousi Chen, Mamoru Komachi

Proceedings of the 38th Pacific Asia Conference on Language, Information and Computation, 2024

Pruning Multilingual Large Language Models for Multilingual Inference.

Hwichan Kim, Jun Suzuki, Tosho Hirasawa, Mamoru Komachi

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

COM Kitchens: An Unedited Overhead-View Video Dataset as a Vision-Language Benchmark.

Koki Maeda, Tosho Hirasawa, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, Yoshitaka Ushiku

Proceedings of the Computer Vision - ECCV 2024, 2024

TMU-HIT at MLSP 2024: How Well Can GPT-4 Tackle Multilingual Lexical Simplification?

Taisei Enomoto, Hwichan Kim, Tosho Hirasawa, Yoshinari Nagai, Ayako Sato, Kyotaro Nakajima, Mamoru Komachi

Proceedings of the 19th Workshop on Innovative Use of NLP for Building Educational Applications, 2024

2023

North Korean Neural Machine Translation through South Korean Resources.

Hwichan Kim, Tosho Hirasawa, Sangwhan Moon, Naoaki Okazaki, Mamoru Komachi

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2023

Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation.

Tosho Hirasawa, Emanuele Bugliarello, Desmond Elliott, Mamoru Komachi

Proceedings of the Eighth Conference on Machine Translation, 2023

Simultaneous Domain Adaptation of Tokenization and Machine Translation.

Taisei Enomoto, Tosho Hirasawa, Hwichan Kim, Teruaki Oka, Mamoru Komachi

Proceedings of the 37th Pacific Asia Conference on Language, 2023

Does Masked Language Model Pre-training with Artificial Data Improve Low-resource Neural Machine Translation?

Hiroto Tamura, Tosho Hirasawa, Hwichan Kim, Mamoru Komachi

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

2022

Why Videos Do Not Guide Translations in Video-guided Machine Translation? An Empirical Evaluation of Video-guided Machine Translation Dataset.

Zhishen Yang, Tosho Hirasawa, Mamoru Komachi, Naoaki Okazaki

J. Inf. Process., 2022

Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K.

Tosho Hirasawa, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi

IEEE Access, 2022

Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction.

Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi

Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022

2021

Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation.

Seiichiro Kondo, Kengo Hotate, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model.

Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi

Proceedings of the 8th Workshop on Asian Translation, 2021

2020

Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020.

Tosho Hirasawa, Zhishen Yang, Mamoru Komachi, Naoaki Okazaki

CoRR, 2020

Towards Multimodal Simultaneous Neural Machine Translation.

Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi

Proceedings of the Fifth Conference on Machine Translation, 2020

Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings.

Masashi Takaku, Tosho Hirasawa, Mamoru Komachi, Kanako Komiya

Proceedings of the 34th Pacific Asia Conference on Language, Information and Computation, 2020

Translation of New Named Entities from English to Chinese.

Zizheng Zhang, Tosho Hirasawa, Wei Houjing, Masahiro Kaneko, Mamoru Komachi

Proceedings of the 7th Workshop on Asian Translation, 2020

TMU Japanese-English Multimodal Machine Translation System for WAT 2020.

Hiroto Tamura, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi

Proceedings of the 7th Workshop on Asian Translation, 2020

Korean-to-Japanese Neural Machine Translation System using Hanja Information.

Hwichan Kim, Tosho Hirasawa, Mamoru Komachi

Proceedings of the 7th Workshop on Asian Translation, 2020

English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs.

Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi

Proceedings of the Fourth Workshop on Neural Generation and Translation, 2020

Zero-shot North Korean to English Neural Machine Translation by Character Tokenization and Phoneme Decomposition.

Hwichan Kim, Tosho Hirasawa, Mamoru Komachi

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2020

2019

Multimodal Machine Translation with Embedding Prediction.

Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Debiasing Word Embeddings Improves Multimodal Machine Translation.

Tosho Hirasawa, Mamoru Komachi

Proceedings of Machine Translation Summit XVII Volume 1: Research Track, 2019