Product
Help
Pricing
About
Jobs
Log in
Get started
Author
Add to collection
Masaya Tsunokake
Observed names:
Masaya TSUNOKAKE,
Tsunokake, Masaya
Institution:
Hitachi (Japan)
Observed institutions:
Nagoya University,
Hitachi (Japan)
ORCID:
0000-0002-9885-7584
Observed ORCID:
0000-0002-9885-7584
OpenAlex ID:
A5008222147
Classification of URL Citations in Scholarly Papers for Promoting Utilization of Research Artifacts
2022
·
Masaya Tsunokake
, Shigeki Matsubara
·
Workshop on Information Extraction from Scientific Publications (WIESP)
·
12
PDF
Hitachi at SemEval-2023 Task 3: Exploring Cross-lingual Multi-task Strategies for Genre and Framing Detection in Online News
2023
·
Yuta Koreeda
, Ken-ichi Yokote
, et al.
·
International Workshop on Semantic Evaluation (SemEval)
·
4
PDF
Classification of URL Citations on Scholarly Papers Using Intermediate Task Training
2025
·
Kazuhiro WADA
, Masaya TSUNOKAKE
, et al.
·
IEICE Transactions on Information and Systems
·
2
PDF
Pareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models
2026
·
Takeshita, Koki
, Uebayashi, Kenji
, et al.
·
arXiv (Cornell University)
PDF
Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks
2026
·
Association for Computational Linguistics 2026
, Koreeda, Yuta
, et al.
·
Underline Science Inc.
Agent Fine–Tuning with Knowledge Distillation: Achieving Cost–Efficient and High–Fidelity LLMs in Microdomains
2026
·
Yawen Xue
, Masaya Tsunokake
, et al.
·
International Journal of Semantic Computing
Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks
2026
·
Tsunokake, Masaya
, Koreeda, Yuta
, et al.
·
arXiv (Cornell University)
PDF
Is Micro Domain-Adaptive Pre-Training Effective for Real-World Operations? Multi-Step Evaluation Reveals Potential and Bottlenecks
2026
·
Masaya Tsunokake
, Yuta Koreeda
, et al.
·
Conference of the European Chapter of the Association for Computational Linguistics
Agent Fine-Tuning Through Distillation for Domain-Specific LLMs in Microdomains
2025
·
Yawen Xue
, Masaya Tsunokake
, et al.
·
Artificial Intelligence for Business (AIxB)
PDF
GFlowNet Fine-tuning for Diverse Correct Solutions in Mathematical Reasoning Tasks
2024
·
Takase, Ryoichi
, Tsunokake, Masaya
, et al.
·
arXiv (Cornell University)
PDF
On an Intermediate Task for Classifying URL Citations on Scholarly Papers
2024
·
Kazuhiro Wada
, Masaya Tsunokake
, et al.
·
Language Resources and Evaluation Conference (LREC)
PDF
Hitachi at SemEval-2023 Task 4: Exploring Various Task Formulations Reveals the Importance of Description Texts on Human Values
2023
·
Masaya Tsunokake
, Atsuki Yamaguchi
, et al.
·
International Workshop on Semantic Evaluation (SemEval)
PDF
Classification of URLs Citing Research Artifacts in Scholarly Documents based on Distributed Representations.
2021
·
Masaya Tsunokake
, Shigeki Matsubara
Identification and Classification of Research Data Cited in Scholarly Papers
2020
·
Masaya Tsunokake
, Shigeki Matsubara
·
IEEJ Transactions on Electronics Information and Systems
PDF
Show more works
View as search
Works count:
17
Citation count:
18
H-index:
2
I10-index:
1
Year
Topic
Type