Hiroaki Yamagiwa

According to our database1, Hiroaki Yamagiwa authored at least 14 papers between 2023 and 2025.

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

Timeline

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Links

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Bibliography

2025
Likelihood Variance as Text Importance for Resampling Texts to Map Language Models.
CoRR, May, 2025

Revealing Language Model Trajectories via Kullback-Leibler Divergence.
CoRR, May, 2025

Mapping 1,000+ Language Models via the Log-Likelihood Vector.
CoRR, February, 2025

Norm of Mean Contextualized Embeddings Determines their Variance.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings.
Proceedings of the 31st International Conference on Computational Linguistics, 2025

Mapping 1, 000+ Language Models via the Log-Likelihood Vector.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

Quantifying Lexical Semantic Shift via Unbalanced Optimal Transport.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024
Predicting Drug-Gene Relations via Analogy Tasks with Word Embeddings.
CoRR, 2024

Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model Estimation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

Axis Tour: Word Tour Determines the Order of Axes in ICA-transformed Embeddings.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Understanding Higher-Order Correlations Among Semantic Components in Embeddings.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Shimo Lab at "Discharge Me!": Discharge Summarization by Prompt-Driven Concatenation of Electronic Health Record Sections.
Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023
Improving word mover's distance by leveraging self-attention matrix.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Discovering Universal Geometry in Embeddings with ICA.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023


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