Yusuke Sakai

Affiliations:
  • Nara Institute of Science and Technology, Japan


According to our database1, Yusuke Sakai authored at least 32 papers between 2021 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2025
gec-metrics: A Unified Library for Grammatical Error Correction Evaluation.
CoRR, May, 2025

Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies.
CoRR, May, 2025

TextTIGER: Text-based Intelligent Generation with Entity Prompt Refinement for Text-to-Image Generation.
CoRR, April, 2025

Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human?
CoRR, February, 2025

Can Impressions of Music be Extracted from Thumbnail Images?
CoRR, January, 2025

AdTEC: A Unified Benchmark for Evaluating Text Quality in Search Engine Advertising.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Reliability of Distribution Predictions by LLMs: Insights from Counterintuitive Pseudo-Distributions.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Tonguescape: Exploring Language Models Understanding of Vowel Articulation.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Towards Cross-Lingual Explanation of Artwork in Large-scale Vision Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

How to Make the Most of LLMs' Grammatical Knowledge for Acceptability Judgments.
Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

IRR: Image Review Ranking Framework for Evaluating Vision-Language Models.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Dictionaries to the Rescue: Cross-Lingual Vocabulary Transfer for Low-Resource Languages Using Bilingual Dictionaries.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

Diversity Explains Inference Scaling Laws: Through a Case Study of Minimum Bayes Risk Decoding.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Revisiting Compositional Generalization Capability of Large Language Models Considering Instruction Following Ability.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

IMPARA-GED: Grammatical Error Detection is Boosting Reference-free Grammatical Error Quality Estimator.
Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024
Theoretical Aspects of Bias and Diversity in Minimum Bayes Risk Decoding.
CoRR, 2024

BQA: Body Language Question Answering Dataset for Video Large Language Models.
CoRR, 2024

Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates.
CoRR, 2024

mbrs: A Library for Minimum Bayes Risk Decoding.
CoRR, 2024

Artwork Explanation in Large-scale Vision Language Models.
CoRR, 2024

Evaluating Image Review Ability of Vision Language Models.
CoRR, 2024

Document-level Translation with LLM Reranking: Team-J at WMT 2024 General Translation Task.
Proceedings of the Ninth Conference on Machine Translation, 2024

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Simul-MuST-C: Simultaneous Multilingual Speech Translation Corpus Using Large Language Model.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Towards Artwork Explanation in Large-scale Vision Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Centroid-Based Efficient Minimum Bayes Risk Decoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023
NAIST-NICT WMT'23 General MT Task Submission.
Proceedings of the Eighth Conference on Machine Translation, 2023

Universal Automatic Phonetic Transcription into the International Phonetic Alphabet.
Proceedings of the 24th Annual Conference of the International Speech Communication Association, 2023

2022
NAIST-NICT-TIT WMT22 General MT Task Submission.
Proceedings of the Seventh Conference on Machine Translation, 2022

2021
Transliteration for Low-Resource Code-Switching Texts: Building an Automatic Cyrillic-to-Latin Converter for Tatar.
Proceedings of the Fifth Workshop on Computational Approaches to Linguistic Code-Switching, 2021


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