| 2025 | ACL | Can Input Attributions Explain Inductive Reasoning in In-Context Learning? | Mengyu Ye, Tatsuki Kuribayashi, Goro Kobayashi, Jun Suzuki |
| 2024 | ICLR | Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2023 | ACL | Transformer Language Models Handle Word Frequency in Prediction Head. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2023 | EMNLP | Contrastive Learning-based Sentence Encoders Implicitly Weight Informative Words. | Hiroto Kurita, Goro Kobayashi, Sho Yokoi, Kentaro Inui |
| 2023 | EMNLP | Assessing Step-by-Step Reasoning against Lexical Negation: A Case Study on Syllogism. | Mengyu Ye, Tatsuki Kuribayashi, Jun Suzuki, Goro Kobayashi, Hiroaki Funayama |
| 2021 | EMNLP | Incorporating Residual and Normalization Layers into Analysis of Masked Language Models. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |
| 2020 | EMNLP | Attention is Not Only a Weight: Analyzing Transformers with Vector Norms. | Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui |