Masaru Isonuma

Orcid: 0009-0004-6152-178X

According to our database1, Masaru Isonuma authored at least 18 papers between 2017 and 2025.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance.
CoRR, May, 2025

UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

What's New in My Data? Novelty Exploration via Contrastive Generation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024
Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation.
CoRR, 2024

Comprehensive Evaluation of Large Language Models for Topic Modeling.
CoRR, 2024

Unlearning Reveals the Influential Training Data of Language Models.
CoRR, 2024

Unlearning Traces the Influential Training Data of Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Topic Modeling for Short Texts with Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

2023
Dynamic Structured Neural Topic Model with Self-Attention Mechanism.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

Differentiable Instruction Optimization for Cross-Task Generalization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022
Lexical Entailment with Hierarchy Representations by Deep Metric Learning.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance.
Trans. Assoc. Comput. Linguistics, 2021

Discovering Interdisciplinarily Spread Knowledge in the Academic Literature.
IEEE Access, 2021

2020
Tree-Structured Neural Topic Model.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019
Unsupervised Joint Learning for Headline Generation and Discourse Structure of Reviews.
Proceedings of the Advances in Artificial Intelligence, 2019

Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2017
Extractive Summarization Using Multi-Task Learning with Document Classification.
Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017


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