Takuma Udagawa

According to our database1, Takuma Udagawa authored at least 15 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

2019
2020
2021
2022
2023
2024
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Legend:

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PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2024
INDUS: Effective and Efficient Language Models for Scientific Applications.
CoRR, 2024

Multiple Representation Transfer from Large Language Models to End-to-End ASR Systems.
Proceedings of the IEEE International Conference on Acoustics, 2024

Robust ASR Error Correction with Conservative Data Filtering.
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.
CoRR, 2023

A Comparative Analysis of Task-Agnostic Distillation Methods for Compressing Transformer Language Models.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing: EMNLP 2023, 2023

Sentence Identification with BOS and EOS Label Combinations.
Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Policy-Adaptive Estimator Selection for Off-Policy Evaluation.
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.
Proceedings of the 23rd Annual Conference of the International Speech Communication Association, 2022

2021
Maintaining Common Ground in Dynamic Environments.
Trans. Assoc. Comput. Linguistics, 2021

Data-Driven Off-Policy Estimator Selection: An Application in User Marketing on An Online Content Delivery Service.
CoRR, 2021

Evaluating the Robustness of Off-Policy Evaluation.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

An Annotated Corpus of Reference Resolution for Interpreting Common Grounding.
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.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019


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