Tosho Hirasawa

40 papers A* 1B 1C 4Journal 19Unranked 15

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge. CoRR Yuzheng Xu, Tosho Hirasawa, Tadashi Kozuno, Yoshitaka Ushiku
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`	HalDec-Bench: Benchmarking Hallucination Detector in Image Captioning. CoRR Kuniaki Saito, Risa Shinoda, Shohei Tanaka, Tosho Hirasawa, Fumio Okura, Yoshitaka Ushiku
2026	J	`jnl`	WarrantScore: Modeling Warrants between Claims and Evidence for Substantiation Evaluation in Peer Reviews. CoRR Kiyotada Mori, Shohei Tanaka, Tosho Hirasawa, Tadashi Kozuno, Koichiro Yoshino, Yoshitaka Ushiku
2025	J	`jnl`	AlignBench: Benchmarking Fine-Grained Image-Text Alignment with Synthetic Image-Caption Pairs. CoRR Kuniaki Saito, Risa Shinoda, Shohei Tanaka, Tosho Hirasawa, Fumio Okura, Yoshitaka Ushiku
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
2025	J	`jnl`	Evaluating the Capability of Video Question Generation for Expert Knowledge Elicitation. CoRR Huaying Zhang, Atsushi Hashimoto, Tosho Hirasawa
2025	J	`jnl`	MK2 at PBIG Competition: A Prompt Generation Solution. CoRR Yuzheng Xu, Tosho Hirasawa, Seiya Kawano, Shota Kato, Tadashi Kozuno
2025	J	`jnl`	SciPostGen: Bridging the Gap between Scientific Papers and Poster Layouts. CoRR Shun Inadumi, Shohei Tanaka, Tosho Hirasawa, Atsushi Hashimoto, Koichiro Yoshino, Yoshitaka Ushiku
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	—	`conf`	COM Kitchens: An Unedited Overhead-View Video Dataset as a Vision-Language Benchmark. ECCV (65) Koki Maeda, Tosho Hirasawa, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, Yoshitaka Ushiku
2024	J	`jnl`	COM Kitchens: An Unedited Overhead-view Video Dataset as a Vision-Language Benchmark. CoRR Koki Maeda, Tosho Hirasawa, Atsushi Hashimoto, Jun Harashima, Leszek Rybicki, Yusuke Fukasawa, Yoshitaka Ushiku
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	J	`jnl`	SBS Figures: Pre-training Figure QA from Stage-by-Stage Synthesized Images. CoRR Risa Shinoda, Kuniaki Saito, Shohei Tanaka, Tosho Hirasawa, Yoshitaka Ushiku
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
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	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
2023	—	`conf`	Visual Prediction Improves Zero-Shot Cross-Modal Machine Translation. WMT Tosho Hirasawa, Emanuele Bugliarello, Desmond Elliott, Mamoru Komachi
2022	B	`conf`	Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. LREC Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi
2022	J	`jnl`	Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction. CoRR Daisuke Suzuki, Yujin Takahashi, Ikumi Yamashita, Taichi Aida, Tosho Hirasawa, Michitaka Nakatsuji, Masato Mita, Mamoru Komachi
2022	J	`jnl`	Pre-Trained Word Embedding and Language Model Improve Multimodal Machine Translation: A Case Study in Multi30K. IEEE Access Tosho Hirasawa, Masahiro Kaneko, Aizhan Imankulova, Mamoru Komachi
2022	J	`jnl`	Why Videos Do Not Guide Translations in Video-guided Machine Translation? An Empirical Evaluation of Video-guided Machine Translation Dataset. J. Inf. Process. Zhishen Yang, Tosho Hirasawa, Mamoru Komachi, Naoaki Okazaki
2021	—	`conf`	Machine Translation with Pre-specified Target-side Words Using a Semi-autoregressive Model. WAT@ACL/IJCNLP Seiichiro Kondo, Aomi Koyama, Tomoshige Kiyuna, Tosho Hirasawa, Mamoru Komachi
2021	—	`conf`	Sentence Concatenation Approach to Data Augmentation for Neural Machine Translation. NAACL-HLT (Student Research Workshop) Seiichiro Kondo, Kengo Hotate, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi
2020	—	`conf`	English-to-Japanese Diverse Translation by Combining Forward and Backward Outputs. NGT@ACL Masahiro Kaneko, Aizhan Imankulova, Tosho Hirasawa, Mamoru Komachi
2020	J	`jnl`	Keyframe Segmentation and Positional Encoding for Video-guided Machine Translation Challenge 2020. CoRR Tosho Hirasawa, Zhishen Yang, Mamoru Komachi, Naoaki Okazaki
2020	—	`conf`	Korean-to-Japanese Neural Machine Translation System using Hanja Information. WAT@AAC/IJCNLPL Hwichan Kim, Tosho Hirasawa, Mamoru Komachi
2020	C	`conf`	Neural Machine Translation from Historical Japanese to Contemporary Japanese Using Diachronically Domain-Adapted Word Embeddings. PACLIC Masashi Takaku, Tosho Hirasawa, Mamoru Komachi, Kanako Komiya
2020	—	`conf`	TMU Japanese-English Multimodal Machine Translation System for WAT 2020. WAT@AAC/IJCNLPL Hiroto Tamura, Tosho Hirasawa, Masahiro Kaneko, Mamoru Komachi
2020	—	`conf`	Towards Multimodal Simultaneous Neural Machine Translation. WMT@EMNLP Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi
2020	J	`jnl`	Towards Multimodal Simultaneous Neural Machine Translation. CoRR Aizhan Imankulova, Masahiro Kaneko, Tosho Hirasawa, Mamoru Komachi
2020	—	`conf`	Translation of New Named Entities from English to Chinese. WAT@AAC/IJCNLPL Zizheng Zhang, Tosho Hirasawa, Wei Houjing, Masahiro Kaneko, 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
2019	—	`conf`	Debiasing Word Embeddings Improves Multimodal Machine Translation. MTSummit (1) Tosho Hirasawa, Mamoru Komachi
2019	J	`jnl`	Debiasing Word Embeddings Improves Multimodal Machine Translation. CoRR Tosho Hirasawa, Mamoru Komachi
2019	—	`conf`	Multimodal Machine Translation with Embedding Prediction. NAACL-HLT (Student Research Workshop) Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi
2019	J	`jnl`	Multimodal Machine Translation with Embedding Prediction. CoRR Tosho Hirasawa, Hayahide Yamagishi, Yukio Matsumura, Mamoru Komachi