INDUS: Effective and Efficient Language Models for Scientific Applications
- Bishwaranjan Bhattacharjee
- Aashka Trivedi
- et al.
- 2024
- EMNLP 2024
Conference paper
Masayasu Muraoka
Title
Researcher
Bio
Masayasu Muraoka is a researcher of Natural Language Processing at IBM Research - Tokyo. He mainly focuses on multi-modal research in vision and language and large language models. Please visit the Google Scholar page for his publications.
Publications
Robust ASR Error Correction with Conservative Data Filtering
- Takuma Udagawa
- Masayuki Suzuki
- et al.
- 2024
- EMNLP 2024
Conference paperAutomatic Manipulation of Training Corpora to Make Parsers Accept Real-world Text
- 2024
- LREC-COLING 2024
Workshop paperMULTIPLE REPRESENTATION TRANSFER FROM LARGE LANGUAGE MODELS TO END-TO-END ASR SYSTEMS
- Takuma Udagawa
- Masayuki Suzuki
- et al.
- 2024
- ICASSP 2024
Conference paperIncorporating Syntactic Knowledge into Pre-trained Language Model using Optimization for Overcoming Catastrophic Forgetting
- Ran Iwamoto
- Issei Yoshida
- et al.
- 2023
- EMNLP 2023
PaperA Simple Yet Strong Domain-Agnostic De-bias Method for Zero-Shot Sentiment Classification
- Yang Zhao
- Tetsuya Nasukawa
- et al.
- 2023
- ACL 2023
PaperVisual Objects As Context: Exploiting Visual Objects for Lexical Entailment
- Masayasu Muraoka
- Tetsuya Nasukawa
- et al.
- 2020
- EMNLP 2020
Conference paper
Patents
- US
- 12475316
- US
- 12093649
- US
- 11797425
- US
- 11636338
- US
- 11132393
- US
- 10970488
Projects
Top collaborators
HK
Hiroshi Kanayama
Senior Technical Staff Member, Knowledge Infrastructure, AI Technologies, IBM Research - Tokyo
RI
GK
Gakuto Kurata
Distinguished Engineer and Senior Manager of AI Technologies
PV
Panos Vagenas
Advisory Engineer, Data & AI