Ukyo Honda

According to our database, Ukyo Honda authored at least 25 papers between 2018 and 2026.

Collaborative distances:

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

2026

Toward LLMs Beyond English-Centric Development.

Sho Takase, Ukyo Honda

CoRR, May, 2026

Does Self-Consistency Improve the Recall of Encyclopedic Knowledge?

Sho Hoshino, Ukyo Honda, Peinan Zhang

CoRR, April, 2026

Revisiting the Capacity Gap in Chain-of-Thought Distillation from a Practical Perspective.

Tokio Kajitsuka, Ukyo Honda, Sho Takase

CoRR, April, 2026

2025

Exploring the Relationship Between Diversity and Quality in Ad Text Generation.

Yoichi Aoki, Soichiro Murakami, Ukyo Honda, Akihiko Kato

CoRR, May, 2025

Exploring Explanations Improves the Robustness of In-Context Learning.

Ukyo Honda

J. Nat. Lang. Process., 2025

Multimodal Markup Document Models for Graphic Design Completion.

Kotaro Kikuchi, Ukyo Honda, Naoto Inoue, Mayu Otani, Edgar Simo-Serra, Kota Yamaguchi

Proceedings of the 33rd ACM International Conference on Multimedia, 2025

Annotation-Efficient Language Model Alignment via Diverse and Representative Response Texts.

Yuu Jinnai, Ukyo Honda

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

Distilling Many-Shot In-Context Learning into a Cheat Sheet.

Ukyo Honda, Soichiro Murakami, Peinan Zhang

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

Exploring Explanations Improves the Robustness of In-Context Learning.

Ukyo Honda, Tatsushi Oka

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Not Eliminate but Aggregate: Post-Hoc Control over Mixture-of-Experts to Address Shortcut Shifts in Natural Language Understanding.

Ukyo Honda, Tatsushi Oka, Peinan Zhang, Masato Mita

Trans. Assoc. Comput. Linguistics, 2024

FaithCAMERA: Construction of a Faithful Dataset for Ad Text Generation.

Akihiko Kato, Masato Mita, Soichiro Murakami, Ukyo Honda, Sho Hoshino, Peinan Zhang

CoRR, 2024

Annotation-Efficient Preference Optimization for Language Model Alignment.

Yuu Jinnai, Ukyo Honda

CoRR, 2024

Reinforcement Learning for Edit-Based Non-Autoregressive Neural Machine Translation.

Hao Wang, Tetsuro Morimura, Ukyo Honda, Daisuke Kawahara

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.

Atsumoto Ohashi, Ukyo Honda, Tetsuro Morimura, Yuu Jinnai

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.

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe

Proceedings of the Forty-first International Conference on Machine Learning, 2024

A Single Linear Layer Yields Task-Adapted Low-Rank Matrices.

Hwichan Kim, Shota Sasaki, Sho Hoshino, Ukyo Honda

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

CAMERA³: An Evaluation Dataset for Controllable Ad Text Generation in Japanese.

Go Inoue, Akihiko Kato, Masato Mita, Ukyo Honda, Peinan Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Generating Diverse and High-Quality Texts by Minimum Bayes Risk Decoding.

Yuu Jinnai, Ukyo Honda, Tetsuro Morimura, Peinan Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Model-Based Minimum Bayes Risk Decoding.

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe

CoRR, 2023

On the Depth between Beam Search and Exhaustive Search for Text Generation.

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda

CoRR, 2023

Switching to Discriminative Image Captioning by Relieving a Bottleneck of Reinforcement Learning.

Ukyo Honda, Taro Watanabe, Yuji Matsumoto

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

2022

Characterization of Pulmonary Nodules in Computed Tomography Images Based on Pseudo-Labeling Using Radiology Reports.

Yohei Momoki, Akimichi Ichinose, Yutaro Shigeto, Ukyo Honda, Keigo Nakamura, Yuji Matsumoto

IEEE Trans. Circuits Syst. Video Technol., 2022

Law Retrieval with Supervised Contrastive Learning Using the Hierarchical Structure of Law.

Jungmin Choi, Ukyo Honda, Taro Watanabe, Hiroki Ouchi, Kentaro Inui

Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation, 2022

2021

Removing Word-Level Spurious Alignment between Images and Pseudo-Captions in Unsupervised Image Captioning.

Ukyo Honda, Yoshitaka Ushiku, Atsushi Hashimoto, Taro Watanabe, Yuji Matsumoto

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2018

Pruning Basic Elements for Better Automatic Evaluation of Summaries.

Ukyo Honda, Tsutomu Hirao, Masaaki Nagata

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018