Goro Kobayashi

According to our database, Goro Kobayashi authored at least 8 papers between 2020 and 2024.

Collaborative distances:

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

2024

Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Feed-Forward Blocks Control Contextualization in Masked Language Models.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

CoRR, 2023

Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism.

Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama

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

Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words.

Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui

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

Transformer Language Models Handle Word Frequency in Prediction Head.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

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

2021

Incorporating Residual and Normalization Layers into Analysis of Masked Language Models.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Attention Module is Not Only a Weight: Analyzing Transformers with Vector Norms.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

CoRR, 2020

Attention is Not Only a Weight: Analyzing Transformers with Vector Norms.

Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020