Takuma Udagawa

According to our database, Takuma Udagawa authored at least 18 papers between 2019 and 2025.

Collaborative distances:

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

2025

Not Just What, But When: Integrating Irregular Intervals to LLM for Sequential Recommendation.

Wei-Wei Du, Takuma Udagawa, Kei Tateno

CoRR, July, 2025

Bias Analysis and Mitigation through Protected Attribute Detection and Regard Classification.

Takuma Udagawa, Yang Zhao, Hiroshi Kanayama, Bishwaranjan Bhattacharjee

CoRR, April, 2025

Off-Policy Evaluation and Learning for the Future under Non-Stationarity.

Tatsuhiro Shimizu, Kazuki Kawamura, Takanori Muroi, Yusuke Narita, Kei Tateno, Takuma Udagawa, Yuta Saito

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.1, 2025

2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Mike Little, Elizabeth Fancher, Lauren M. Sanders, Sylvain V. Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Armin Mehrabian, Tsengdar J. Lee

CoRR, 2024

Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems.

Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Masayasu Muraoka, George Saon

Proceedings of the IEEE International Conference on Acoustics, 2024

Robust ASR Error Correction with Conservative Data Filtering.

Takuma Udagawa, Masayuki Suzuki, Masayasu Muraoka, Gakuto Kurata

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

INDUS: Effective and Efficient Language Models for Scientific Applications.

Bishwaranjan Bhattacharjee, Aashka Trivedi, Masayasu Muraoka, Muthukumaran Ramasubramanian, Takuma Udagawa, Iksha Gurung, Nishan Pantha, Rong Zhang, Bharath Dandala, Rahul Ramachandran, Manil Maskey, Kaylin M. Bugbee, Michael Little, Elizabeth Fancher, Irina Gerasimov, Armin Mehrabian, Lauren M. Sanders, Sylvain Costes, Sergi Blanco-Cuaresma, Kelly E. Lockhart, Thomas Allen, Félix Grèzes, Megan Ansdell, Alberto Accomazzi, Yousef El-Kurdi, Davis Wertheimer, Birgit Pfitzmann, Cesar Berrospi Ramis, Michele Dolfi, Rafael Teixeira de Lima, Panagiotis Vagenas, S. Karthik Mukkavilli, Peter W. J. Staar, Sanaz Vahidinia, Ryan McGranaghan, Tsengdar J. Lee

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

2023

Neural Architecture Search for Effective Teacher-Student Knowledge Transfer in Language Models.

Aashka Trivedi, Takuma Udagawa, Michele Merler, Rameswar Panda, Yousef El-Kurdi, Bishwaranjan Bhattacharjee

CoRR, 2023

A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models.

Takuma Udagawa, Aashka Trivedi, Michele Merler, Bishwaranjan Bhattacharjee

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Sentence Identification with BOS and EOS Label Combinations.

Takuma Udagawa, Hiroshi Kanayama, Issei Yoshida

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

Policy-Adaptive Estimator Selection for Off-Policy Evaluation.

Takuma Udagawa, Haruka Kiyohara, Yusuke Narita, Yuta Saito, Kei Tateno

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Effect and Analysis of Large-scale Language Model Rescoring on Competitive ASR Systems.

Takuma Udagawa, Masayuki Suzuki, Gakuto Kurata, Nobuyasu Itoh, George Saon

Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021

Maintaining Common Ground in Dynamic Environments.

Takuma Udagawa, Akiko Aizawa

Trans. Assoc. Comput. Linguistics, 2021

Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service.

Yuta Saito, Takuma Udagawa, Kei Tateno

CoRR, 2021

Evaluating the Robustness of Off-Policy Evaluation.

Yuta Saito, Takuma Udagawa, Haruka Kiyohara, Kazuki Mogi, Yusuke Narita, Kei Tateno

Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

2020

A Linguistic Analysis of Visually Grounded Dialogues Based on Spatial Expressions.

Takuma Udagawa, Takato Yamazaki, Akiko Aizawa

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

An Annotated Corpus of Reference Resolution for Interpreting Common Grounding.

Takuma Udagawa, Akiko Aizawa

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Natural Language Corpus of Common Grounding under Continuous and Partially-Observable Context.

Takuma Udagawa, Akiko Aizawa

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