Exploring Explanations Improves the Robustness of In-Context Learning.
CoRR, June, 2025
Exploring the Relationship Between Diversity and Quality in Ad Text Generation.
CoRR, May, 2025
Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding.
Trans. Assoc. Comput. Linguistics, 2024
FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation.
CoRR, 2024
Annotation-Efficient Preference Optimization for Language Model Alignment.
CoRR, 2024
Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024
On the True Distribution Approximation of Minimum Bayes-Risk Decoding.
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Short Papers, 2024
Model-Based Minimum Bayes Risk Decoding for Text Generation.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
A Single Linear Layer Yields Task-Adapted Low-Rank Matrices.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
CAMERA³: An Evaluation Dataset for Controllable Ad Text Generation in Japanese.
Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024
Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
Model-Based Minimum Bayes Risk Decoding.
CoRR, 2023
On the Depth between Beam Search and Exhaustive Search for Text Generation.
CoRR, 2023
Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
Characterization of Pulmonary Nodules in Computed Tomography Images Based on Pseudo-Labeling Using Radiology Reports.
IEEE Trans. Circuits Syst. Video Technol., 2022
Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law.
Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022
Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning.
Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021
Pruning Basic Elements for Better Automatic Evaluation of Summaries.
Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018