Extractive Summarization Using Multi-Task Learning with Document Classification. - Masaru Isonuma; Toru Fujino; Junichiro Mori; Yutaka Matsuo; Ichiro Sakata (EMNLP, 2017)

Unsupervised Neural Single-Document Summarization of Reviews via Learning Latent Discourse Structure and its Ranking. - Masaru Isonuma; Junichiro Mori; Ichiro Sakata (ACL (1), 2019)

Unsupervised Joint Learning for Headline Generation and Discourse Structure of Reviews. - Masaru Isonuma; Junichiro Mori; Ichiro Sakata (JSAI, 2019)

Tree-Structured Neural Topic Model. - Masaru Isonuma; Junichiro Mori; Danushka Bollegala; Ichiro Sakata (ACL, 2020)

Discovering Interdisciplinarily Spread Knowledge in the Academic Literature. - Maiko Kamada; Kimitaka Asatani; Masaru Isonuma; Ichiro Sakata (IEEE Access, 2021)

Unsupervised Abstractive Opinion Summarization by Generating Sentences with Tree-Structured Topic Guidance. - Masaru Isonuma; Junichiro Mori; Danushka Bollegala; Ichiro Sakata (Trans. Assoc. Comput. Linguistics, 2021)

Lexical Entailment with Hierarchy Representations by Deep Metric Learning. - Naomi Sato; Masaru Isonuma; Kimitaka Asatani; Shoya Ishizuka; Aori Shimizu; Ichiro Sakata (EMNLP (Findings), 2022)

Differentiable Instruction Optimization for Cross-Task Generalization. - Masaru Isonuma; Junichiro Mori; Ichiro Sakata (ACL (Findings), 2023)

SciReviewGen: A Large-scale Dataset for Automatic Literature Review Generation. - Tetsu Kasanishi; Masaru Isonuma; Junichiro Mori; Ichiro Sakata (ACL (Findings), 2023)

Dynamic Structured Neural Topic Model with Self-Attention Mechanism. - Nozomu Miyamoto; Masaru Isonuma; Sho Takase; Junichiro Mori; Ichiro Sakata (ACL (Findings), 2023)

Topic Modeling for Short Texts with Large Language Models. - Tomoki Doi; Masaru Isonuma; Hitomi Yanaka (ACL (Student Research Workshop), 2024)

Unlearning Traces the Influential Training Data of Language Models. - Masaru Isonuma; Ivan Titov (ACL (1), 2024)

Unlearning Reveals the Influential Training Data of Language Models. - Masaru Isonuma; Ivan Titov (CoRR, 2024)

Comprehensive Evaluation of Large Language Models for Topic Modeling. - Tomoki Doi; Masaru Isonuma; Hitomi Yanaka (CoRR, 2024)

Towards Transfer Unlearning: Empirical Evidence of Cross-Domain Bias Mitigation. - Huimin Lu; Masaru Isonuma; Junichiro Mori; Ichiro Sakata (CoRR, 2024)

What's New in My Data? Novelty Exploration via Contrastive Generation. - Masaru Isonuma; Ivan Titov (ICLR, 2025)

UniDetox: Universal Detoxification of Large Language Models via Dataset Distillation. - Huimin Lu; Masaru Isonuma; Junichiro Mori; Ichiro Sakata (ICLR, 2025)

Do LLMs Need to Think in One Language? Correlation between Latent Language and Task Performance. - Shintaro Ozaki; Tatsuya Hiraoka; Hiroto Otake; Hiroki Ouchi; Masaru Isonuma; Benjamin Heinzerling; Kentaro Inui; Taro Watanabe; Yusuke Miyao; Yohei Oseki; Yu Takagi (CoRR, 2025)