Atsuki Yamaguchi
Orcid: 0000-0001-8327-7598
According to our database1,
Atsuki Yamaguchi
authored at least 18 papers
between 2020 and 2024.
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Bibliography
2024
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Generative LLM Inference.
CoRR, 2024
An Empirical Study on Cross-lingual Vocabulary Adaptation for Efficient Language Model Inference.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
CHICOT: A Developer-Assistance Toolkit for Code Search with High-Level Contextual Information.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Team Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News.
CoRR, 2023
Hitachi at SemEval-2023 Task 4: Exploring Various Task Formulations Reveals the Importance of Description Texts on Human Values.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News.
Proceedings of the The 17th International Workshop on Semantic Evaluation, 2023
Proceedings of the International Conference on Machine Learning, 2023
How does the task complexity of masked pretraining objectives affect downstream performance?
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023
How do different tokenizers perform on downstream tasks in scriptio continua languages?: A case study in Japanese.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2023
2022
Hitachi at SemEval-2022 Task 2: On the Effectiveness of Span-based Classification Approaches for Multilingual Idiomaticity Detection.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis.
Proceedings of the 16th International Workshop on Semantic Evaluation, SemEval@NAACL 2022, 2022
2021
Team Hitachi @ AutoMin 2021: Reference-free Automatic Minuting Pipeline with Argument Structure Construction over Topic-based Summarization.
CoRR, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020