Yusuke Sakai

Affiliations:
  • Nara Institute of Science and Technology, Japan


According to our database1, Yusuke Sakai authored at least 67 papers between 2021 and 2026.

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

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Enhancing Factuality through Consensus and Consistency in Summarization Using Minimum Bayes Risk Decoding.
CoRR, May, 2026

Edit-level Majority Voting Mitigates Over-Correction in LLM-based Grammatical Error Correction.
CoRR, May, 2026

HalluCiteChecker: A Lightweight Toolkit for Hallucinated Citation Detection and Verification in the Era of AI Scientists.
CoRR, April, 2026

CArtBench: Evaluating Vision-Language Models on Chinese Art Understanding, Interpretation, and Authenticity.
CoRR, April, 2026

StructLens: A Structural Lens for Language Models via Maximum Spanning Trees.
CoRR, March, 2026

The Wisdom of Many Queries: Complexity-Diversity Principle for Dense Retriever Training.
CoRR, February, 2026

Grammatical Error Correction Evaluation by Optimally Transporting Edit Representation.
CoRR, February, 2026

Domain Translation with Monolingual Lexical Distribution.
Trans. Mach. Learn. Res., 2026

Rethinking the Evaluation Methods of LLMs' Grammatical Knowledge.
J. Nat. Lang. Process., 2026

"Yuki Gets Sushi, David Gets Steak?": Uncovering Gender and Racial Biases in LLM-Based Meal Recommendations.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

entity-linkings: A Unified Library for Entity Linking.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Cosine Similarity as Logits?: A Scalable Knowledge Probe Using Embedding Vectors from Generative Language Models.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Diagnosing Vision Language Models' Perception by Leveraging Human Methods for Color Vision Deficiencies.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Towards Singable Lyrics Translation Using Large Language Models.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Toward Automatic Delegation Extraction in Japanese Law.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Hacking Neural Evaluation Metrics with Single Text.
Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

HalluCitation Matters: Revealing the Impact of Hallucinated References with 300 Hallucinated Papers in ACL Conferences.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

One Single Hub Text Breaks CLIP: Identifying Vulnerabilities in Cross-Modal Encoders via Hubness.
Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025
Hacking Neural Evaluation Metrics with Single Hub Text.
CoRR, December, 2025

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

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

Vowel Articulation and Tongue Position in Vision Language Models.
J. Nat. Lang. Process., 2025

Toward the Final Piece of My Doctoral Thesis.
J. Nat. Lang. Process., 2025

Investigation of the Inference Capabilities and Memorization of Pre-trained Language Models.
J. Nat. Lang. Process., 2025

Simultaneous Interpretation Corpus Construction by Large Language Models in Distant Language Pair.
J. Nat. Lang. Process., 2025

Cross-Era Evaluation of Language Models for Location Referring Expression Extraction.
J. Nat. Lang. Process., 2025

Visual Priming Effect on Large-scale Vision Language Models.
Proceedings of the 15th International Conference on Recent Advances in Natural Language Processing, 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

Agreement-Constrained Probabilistic Minimum Bayes Risk Decoding.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Investigating Omission as a Latency Reduction Strategy in Simultaneous Speech Translation.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Multilingual Dialogue Generation and Localization with Dialogue Act Scripting.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

Languages Still Left Behind: Toward a Better Multilingual Machine Translation Benchmark.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

LoCt-Instruct: An Automatic Pipeline for Constructing Datasets of Logical Continuous Instructions.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

SinhalaMMLU: A Comprehensive Benchmark for Evaluating Multitask Language Understanding in Sinhala.
Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

BannerBench: Benchmarking Vision Language Models for Multi-Ad Selection with Human Preferences.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Reliability Crisis of Reference-free Metrics for Grammatical Error Correction.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 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

Translating Movie Subtitles by Large Language Models using Movie-meta Information.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 4: Student Research Workshop), 2025

BQA: Body Language Question Answering Dataset for Video Large Language Models.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 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

gec-metrics: A Unified Library for Grammatical Error Correction Evaluation.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2025

Rethinking Evaluation Metrics for Grammatical Error Correction: Why Use a Different Evaluation Process than Human?
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short 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
Investigation of the Inference Capabilities and Memorization of Pre-trained Language Models.
J. Nat. Lang. Process., 2024

Does Pre-trained Language Model Actually Infer Unseen Links in Knowledge Graph Completion?
J. Nat. Lang. Process., 2024

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

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

mbrs: A Library for Minimum Bayes Risk Decoding.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Towards Artwork Explanation in Large-scale Vision Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 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


  Loading...