| mcsqa: Multilingual commonsense reasoning dataset with unified creation strategy by language models and humans Y Sakai, H Kamigaito, T Watanabe arXiv preprint arXiv:2406.04215, 2024 | 10 | 2024 |
| Towards Artwork Explanation in Large-scale Vision Language Models K Hayashi, Y Sakai, H Kamigaito, K Hayashi, T Watanabe arXiv preprint arXiv:2403.00068, 2024 | 8 | 2024 |
| Centroid-based efficient minimum bayes risk decoding H Deguchi, Y Sakai, H Kamigaito, T Watanabe, H Tanaka, M Utiyama arXiv preprint arXiv:2402.11197, 2024 | 5 | 2024 |
| Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? Y Sakai, H Kamigaito, K Hayashi, T Watanabe arXiv preprint arXiv:2311.09109, 2023 | 5 | 2023 |
| Universal automatic phonetic transcription into the international phonetic alphabet C Taguchi, Y Sakai, P Haghani, D Chiang arXiv preprint arXiv:2308.03917, 2023 | 5 | 2023 |
| Towards cross-lingual explanation of artwork in large-scale vision language models S Ozaki, K Hayashi, Y Sakai, H Kamigaito, K Hayashi, T Watanabe arXiv preprint arXiv:2409.01584, 2024 | 4 | 2024 |
| NAIST-NICT WMT’23 General MT Task Submission H Deguchi, K Imamura, Y Nishida, Y Sakai, J Vasselli, T Watanabe Proceedings of the Eighth Conference on Machine Translation, 110-118, 2023 | 4 | 2023 |
| Document-level translation with LLM reranking: Team-j at WMT 2024 general translation task K Kudo, H Deguchi, M Morishita, R Fujii, T Ito, S Ozaki, K Natsumi, K Sato, ... Proceedings of the Ninth Conference on Machine Translation, 210-226, 2024 | 3 | 2024 |
| Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates Y Sakai, A Nohejl, J Hang, H Kamigaito, T Watanabe arXiv preprint arXiv:2408.12263, 2024 | 3 | 2024 |
| Naist-nict-tit wmt22 general mt task submission H Deguchi, K Imamura, M Kaneko, Y Nishida, Y Sakai, J Vasselli, HH Vu, ... Proceedings of the Seventh Conference on Machine Translation (WMT), 244-250, 2022 | 3 | 2022 |
| Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding H Kamigaito, H Deguchi, Y Sakai, K Hayashi, T Watanabe arXiv preprint arXiv:2410.15021, 2024 | 2 | 2024 |
| IRR: Image Review Ranking Framework for Evaluating Vision-Language Models K Hayashi, K Onishi, T Suzuki, Y Ide, S Gobara, S Saito, Y Sakai, ... arXiv preprint arXiv:2402.12121, 2024 | 2* | 2024 |
| Transliteration for low-resource code-switching texts: Building an automatic Cyrillic-to-Latin converter for Tatar C Taguchi, Y Sakai, T Watanabe Proceedings of the Fifth Workshop on Computational Approaches to Linguistic …, 2021 | 2 | 2021 |
| Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model M Makinae, Y Sakai, H Kamigaito, T Watanabe Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| BQA: Body Language Question Answering Dataset for Video Large Language Models S Ozaki, K Hayashi, M Oba, Y Sakai, H Kamigaito, T Watanabe arXiv preprint arXiv:2410.13206, 2024 | 1 | 2024 |
| mbrs: A library for minimum bayes risk decoding H Deguchi, Y Sakai, H Kamigaito, T Watanabe arXiv preprint arXiv:2408.04167, 2024 | 1 | 2024 |
| Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair Y Sakai, M Makinae, H Kamigaito, T Watanabe arXiv preprint arXiv:2404.12299, 2024 | 1 | 2024 |
| Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion? 坂井優介 自然言語処理 31 (4), 1767-1773, 2024 | 1 | 2024 |
| 未知の知識に対する事前学習済み言語モデルが持つ推論能力の調査 坂井優介， 上垣外英剛， 林克彦， 渡辺太郎 研究報告自然言語処理 (NL) 2023 (4), 1-14, 2023 | 1 | 2023 |
| Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human? T Goto, Y Sakai, T Watanabe arXiv preprint arXiv:2502.09416, 2025 | | 2025 |
Taro WatanabeNara Institute of Science and TechnologyVerified email at is.naist.jp
Taro WatanabeNara Institute of Science and TechnologyVerified email at is.naist.jp