Shun Kiyono

According to our database, Shun Kiyono authored at least 26 papers between 2017 and 2024.

Collaborative distances:

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

2024

Self-Translate-Train: A Simple but Strong Baseline for Cross-lingual Transfer of Large Language Models.

Ryokan Ri, Shun Kiyono, Sho Takase

CoRR, 2024

Large Vocabulary Size Improves Large Language Models.

Sho Takase, Ryokan Ri, Shun Kiyono, Takuya Kato

CoRR, 2024

2023

Spike No More: Stabilizing the Pre-training of Large Language Models.

Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

CoRR, 2023

Lessons on Parameter Sharing across Layers in Transformers.

Sho Takase, Shun Kiyono

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

Bridging the Gap between Subword and Character Segmentation in Pretrained Language Models.

Shun Kiyono, Sho Takase, Shengzhe Li, Toshinori Sato

Proceedings of the 14th International Conference on Recent Advances in Natural Language Processing, 2023

B2T Connection: Serving Stability and Performance in Deep Transformers.

Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

On Layer Normalizations and Residual Connections in Transformers.

Sho Takase, Shun Kiyono, Sosuke Kobayashi, Jun Suzuki

CoRR, 2022

Diverse Lottery Tickets Boost Ensemble from a Single Pretrained Model.

Sosuke Kobayashi, Shun Kiyono, Jun Suzuki, Kentaro Inui

CoRR, 2022

NT5 at WMT 2022 General Translation Task.

Makoto Morishita, Keito Kudo, Yui Oka, Katsuki Chousa, Shun Kiyono, Sho Takase, Jun Suzuki

Proceedings of the Seventh Conference on Machine Translation, 2022

2021

Rethinking Perturbations in Encoder-Decoders for Fast Training.

Sho Takase, Shun Kiyono

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Pseudo Zero Pronoun Resolution Improves Zero Anaphora Resolution.

Ryuto Konno, Shun Kiyono, Yuichiroh Matsubayashi, Hiroki Ouchi, Kentaro Inui

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

SHAPE : Shifted Absolute Position Embedding for Transformers.

Shun Kiyono, Sosuke Kobayashi, Jun Suzuki, Kentaro Inui

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Massive Exploration of Pseudo Data for Grammatical Error Correction.

Shun Kiyono, Jun Suzuki, Tomoya Mizumoto, Kentaro Inui

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Tohoku-AIP-NTT at WMT 2020 News Translation Task.

Shun Kiyono, Takumi Ito, Ryuto Konno, Makoto Morishita, Jun Suzuki

Proceedings of the Fifth Conference on Machine Translation, 2020

A Self-Refinement Strategy for Noise Reduction in Grammatical Error Correction.

Masato Mita, Shun Kiyono, Masahiro Kaneko, Jun Suzuki, Kentaro Inui

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Empirical Study of Contextual Data Augmentation for Japanese Zero Anaphora Resolution.

Ryuto Konno, Yuichiroh Matsubayashi, Shun Kiyono, Hiroki Ouchi, Ryo Takahashi, Kentaro Inui

Proceedings of the 28th International Conference on Computational Linguistics, 2020

Encoder-Decoder Models Can Benefit from Pre-trained Masked Language Models in Grammatical Error Correction.

Masahiro Kaneko, Masato Mita, Shun Kiyono, Jun Suzuki, Kentaro Inui

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

ESPnet-ST: All-in-One Speech Translation Toolkit.

Hirofumi Inaguma, Shun Kiyono, Kevin Duh, Shigeki Karita, Nelson Yalta, Tomoki Hayashi, Shinji Watanabe

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Riposte! A Large Corpus of Counter-Arguments.

Paul Reisert, Benjamin Heinzerling, Naoya Inoue, Shun Kiyono, Kentaro Inui

CoRR, 2019

ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper.

Hirofumi Inaguma, Shun Kiyono, Nelson Enrique Yalta Soplin, Jun Suzuki, Kevin Duh, Shinji Watanabe

Proceedings of the 16th International Conference on Spoken Language Translation, 2019

An Empirical Study of Incorporating Pseudo Data into Grammatical Error Correction.

Shun Kiyono, Jun Suzuki, Masato Mita, Tomoya Mizumoto, Kentaro Inui

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Effective Adversarial Regularization for Neural Machine Translation.

Motoki Sato, Jun Suzuki, Shun Kiyono

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Mixture of Expert/Imitator Networks: Scalable Semi-Supervised Learning Framework.

Shun Kiyono, Jun Suzuki, Kentaro Inui

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Reducing Odd Generation from Neural Headline Generation.

Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata

Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation, 2018

Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models.

Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata

Proceedings of the Workshop: Analyzing and Interpreting Neural Networks for NLP, 2018

2017

Source-side Prediction for Neural Headline Generation.

Shun Kiyono, Sho Takase, Jun Suzuki, Naoaki Okazaki, Kentaro Inui, Masaaki Nagata

CoRR, 2017