Hiroaki Yamagiwa

According to our database, Hiroaki Yamagiwa authored at least 9 papers between 2023 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Norm of Mean Contextualized Embeddings Determines their Variance.

Hiroaki Yamagiwa, Hidetoshi Shimodaira

CoRR, 2024

Revisiting Cosine Similarity via Normalized ICA-transformed Embeddings.

Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira

CoRR, 2024

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

Hiroaki Yamagiwa, Ryoma Hashimoto, Kiwamu Arakane, Ken Murakami, Shou Soeda, Momose Oyama, Mariko Okada, Hidetoshi Shimodaira

CoRR, 2024

Zero-Shot Edge Detection with SCESAME: Spectral Clustering-based Ensemble for Segment Anything Model Estimation.

Hiroaki Yamagiwa, Yusuke Takase, Hiroyuki Kambe, Ryosuke Nakamoto

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.

Hiroaki Yamagiwa, Yusuke Takase, Hidetoshi Shimodaira

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Understanding Higher-Order Correlations Among Semantic Components in Embeddings.

Momose Oyama, Hiroaki Yamagiwa, Hidetoshi Shimodaira

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.

Yunzhen He, Hiroaki Yamagiwa, Hidetoshi Shimodaira

Proceedings of the 23rd Workshop on Biomedical Natural Language Processing, 2024

2023

Improving word mover's distance by leveraging self-attention matrix.

Hiroaki Yamagiwa, Sho Yokoi, Hidetoshi Shimodaira

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Discovering Universal Geometry in Embeddings with ICA.

Hiroaki Yamagiwa, Momose Oyama, Hidetoshi Shimodaira

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023