Goro Kobayashi

According to our database, Goro Kobayashi authored at least 11 papers between 2020 and 2025.

Collaborative distances:

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

2025

PLaMo 2 Technical Report.

Kaizaburo Chubachi, Yasuhiro Fujita, Shinichi Hemmi, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Goro Kobayashi, Kenichi Maehashi, Calvin Metzger, Hiroaki Mikami, Shogo Murai, Daisuke Nishino, Kento Nozawa, Toru Ogawa, Shintarou Okada, Daisuke Okanohara, Shunta Saito, Shotaro Sano, Shuji Suzuki, Kuniyuki Takahashi, Daisuke Tanaka, Avinash Ummadisingu, Hanqin Wang, Sixue Wang, Tianqi Xu

CoRR, September, 2025

Can Input Attributions Explain Inductive Reasoning in In-Context Learning?

Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi, Jun Suzuki

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Can Input Attributions Interpret the Inductive Reasoning Process Elicited in In-Context Learning?

Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi, Jun Suzuki

CoRR, 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