Understanding Interpersonal Variations in Word Meanings via Review Target Identification. - Daisuke Oba; Shoetsu Sato; Naoki Yoshinaga 001; Satoshi Akasaki; Masashi Toyoda (CICLing (2), 2019)

Modeling Personal Biases in Language Use by Inducing Personalized Word Embeddings. - Daisuke Oba; Naoki Yoshinaga 001; Shoetsu Sato; Satoshi Akasaki; Masashi Toyoda (NAACL-HLT (1), 2019)

Exploratory Model Analysis Using Data-Driven Neuron Representations. - Daisuke Oba; Naoki Yoshinaga 001; Masashi Toyoda (BlackboxNLP@EMNLP, 2021)

Dynamic Data Augmentation with Gating Networks. - Daisuke Oba; Shinnosuke Matsuo; Brian Kenji Iwana (CoRR, 2021)

Entity Embedding Completion for Wide-Coverage Entity Disambiguation. - Daisuke Oba; Ikuya Yamada; Naoki Yoshinaga 001; Masashi Toyoda (EMNLP (Findings), 2022)

Dynamic Data Augmentation with Gating Networks for Time Series Recognition. - Daisuke Oba; Shinnosuke Matsuo; Brian Kenji Iwana (ICPR, 2022)

In-Contextual Bias Suppression for Large Language Models. - Daisuke Oba; Masahiro Kaneko; Danushka Bollegala (CoRR, 2023)

PerPLM: Personalized Fine-tuning of Pretrained Language Models via Writer-specific Intermediate Learning and Prompts. - Daisuke Oba; Naoki Yoshinaga 001; Masashi Toyoda (CoRR, 2023)

In-Contextual Gender Bias Suppression for Large Language Models. - Daisuke Oba; Masahiro Kaneko; Danushka Bollegala (EACL (Findings), 2024)

Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge. - Xin Zhao; Naoki Yoshinaga 001; Daisuke Oba (EACL (1), 2024)

What Matters in Memorizing and Recalling Facts? Multifaceted Benchmarks for Knowledge Probing in Language Models. - Xin Zhao; Naoki Yoshinaga 001; Daisuke Oba (EMNLP (Findings), 2024)

What Matters in Learning Facts in Language Models? Multifaceted Knowledge Probing with Diverse Multi-Prompt Datasets. - Xin Zhao; Naoki Yoshinaga 001; Daisuke Oba (CoRR, 2024)