| GPT-RE: In-context learning for relation extraction using large language models Z Wan, F Cheng, Z Mao, Q Liu, H Song, J Li, S Kurohashi EMNLP 2023, 2023 | 48 | 2023 |
| Pre-training via leveraging assisting languages for neural machine translation H Song, R Dabre, Z Mao, F Cheng, S Kurohashi, E Sumita ACL 2021 SRW, 279-285, 2020 | 12* | 2020 |
| Lightweight Cross-Lingual Sentence Representation Learning Z Mao, P Gupta, P Wang, C Chu, M Jaggi, S Kurohashi ACL 2021, 2021 | 7 | 2021 |
| JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine Translation Z Mao, F Cromieres, R Dabre, H Song, S Kurohashi LREC 2020, 3683-3691, 2020 | 7 | 2020 |
| LEALLA: Learning Lightweight Language-agnostic Sentence Embeddings with Knowledge Distillation Z Mao, T Nakagawa EACL 2023, 2023 | 6 | 2023 |
| Seeking Diverse Reasoning Logic: Controlled Equation Expression Generation for Solving Math Word Problems Y Shen, Q Liu, Z Mao, Z Wan, F Cheng, S Kurohashi AACL 2022, 2022 | 5 | 2022 |
| Relation Extraction with Weighted Contrastive Pre-training on Distant Supervision Z Wan, F Cheng, Q Liu, Z Mao, H Song, S Kurohashi EACL 2023 Findings, 2022 | 5 | 2022 |
| Exploring the Impact of Layer Normalization for Zero-shot Neural Machine Translation Z Mao, R Dabre, Q Liu, H Song, C Chu, S Kurohashi ACL 2023, 2023 | 4 | 2023 |
| When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation? Z Mao, C Chu, R Dabre, H Song, Z Wan, S Kurohashi NAACL 2022 Findings, 2022 | 4 | 2022 |
| Linguistically driven multi-task pre-training for low-resource neural machine translation Z Mao, C Chu, S Kurohashi Transactions on Asian and Low-Resource Language Information Processing 21 (4 …, 2022 | 4 | 2022 |
| Rescue Implicit and Long-tail Cases: Nearest Neighbor Relation Extraction Z Wan, Q Liu, Z Mao, F Cheng, S Kurohashi, J Li EMNLP 2022, 2022 | 3 | 2022 |
| EMS: Efficient and Effective Massively Multilingual Sentence Representation Learning Z Mao, C Chu, S Kurohashi arXiv preprint arXiv:2205.15744, 2022 | 3 | 2022 |
| Textual Enhanced Contrastive Learning for Solving Math Word Problems Y Shen, Q Liu, Z Mao, F Cheng, S Kurohashi EMNLP 2022 Findings, 2022 | 2 | 2022 |
| Tuning LLMs with Contrastive Alignment Instructions for Machine Translation in Unseen, Low-resource Languages Z Mao, Y Yu arXiv preprint arXiv:2401.05811, 2024 | 1 | 2024 |
| BERTSeg: BERT Based Unsupervised Subword Segmentation for Neural Machine Translation H Song, R Dabre, Z Mao, C Chu, S Kurohashi AACL 2022, 85-94, 2022 | 1 | 2022 |
| Learning Cross-lingual Sentence Representations for Multilingual Document Classification with Token-level Reconstruction Z Mao, P Gupta, C Chu, M Jaggi, S Kurohashi 言語処理学会 第27回年次大会, 1049-1053, 2021 | 1 | 2021 |
| DiverSeg: Leveraging Diverse Segmentations with Cross-granularity Alignment for Neural Machine Translation H Song, Z Mao, R Dabre, C Chu, S Kurohashi Journal of Natural Language Processing 31 (1), 155-188, 2024 | | 2024 |
| SCTB-V2: the 2nd version of the Chinese treebank in the scientific domain C Chu, Z Mao, T Nakazawa, D Kawahara, S Kurohashi Language Resources and Evaluation 57 (3), 1389-1403, 2023 | | 2023 |
| Variable-length Neural Interlingua Representations for Zero-shot Neural Machine Translation Z Mao, H Song, R Dabre, C Chu, S Kurohashi Multi3Generation Workshop, 2023 | | 2023 |
| Efficiently Learning Multilingual Sentence Representation for Cross-lingual Sentence Classification Z Mao, C Chu, S Kurohashi 言語処理学会 第29回年次大会, 2830-2835, 2023 | | 2023 |
Sadao KurohashiKyoto UniversityVerified email at i.kyoto-u.ac.jp
