Paper at EMNLP 2023

We have 4 papers accepted at EMNLP 2023.

• Masahiro Kaneko and Naoaki Okazaki. Reducing Sequence Length by Predicting Edit Operations with Large Language Models. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 10017–10029, Singapore, December 2023. (doi: 10.18653/v1/2023.emnlp-main.619)
• Trang Nguyen and Naoaki Okazaki. Causal Reasoning through Two Layers of Cognition for Improving Generalization in Visual Question Answering. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 9221–9236, Singapore, December 2023. (doi: 10.18653/v1/2023.emnlp-main.573)
• Taku Hasegawa, Kyosuke Nishida, Koki Maeda, and Kuniko Saito. DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 13607–13624, Singapore, December 2023. (doi: 10.18653/v1/2023.emnlp-main.839)
• Koki Maeda, Shuhei Kurita, Taiki Miyanishi, and Naoaki Okazaki. Query-based Image Captioning from Multi-context 360° Images. In Findings of the Association for Computational Linguistics: EMNLP 2023 (EMNLP), pages 6940–6954, Singapore, December 2023. (doi: 10.18653/v1/2023.findings-emnlp.463)