Project Researcher at NII. My research focuses on understanding how LLMs acquire knowledge from training data, interpret it internally, and leverage it for reasoning. My CV is here(last updated: Nov. 2, 2026).
Recent News
2026/10
I have resigned from MBZUAI! Thank you to everyone I worked with there.
Nearest Neighbor Non-autoregressive Text GenerationJournal of Information Processing, 2023J-STAGE Ayana Niwa, Sho Takase, Naoaki Okazaki
Construction of a Corpus of Rhetorical Devices in Slogans and Structural Analysis of AntithesesACM TALLIP, 2021ACM Ayana Niwa, Naoaki Okazaki, Kohei Wakimoto, Keisuke Nishiguchi, Masataka Mouri
International Conference (Refereed)
Mitigating the Impact of Glitch Tokens via Targeted RetokenizationAACL 2026 Dmitrii Kuzmin, Carlos Javier Galán Zavala, Muhammad Alif Al Hakim, Tatsuya Hiraoka, Munachiso Samuel Nwadike, Ayana Niwa, Marco Cognetta, David Pohl, Kentaro Inui
Disentangling the Effects of Unlearning in Measuring Parametric Faithfulness of Chain-of-ThoughtACL 2026 SRWAnthology Ryo Mitsuhashi, Gaku Morio, Ayana Niwa, Masahiro Kaneko, Kentaro Inui, Terufumi Morishita, Yuta Koreeda, Yasuhiro Sogawa
ExaGPT: Example-Based Machine-Generated Text Detection for Human InterpretabilityACL 2026 FindingsAnthology Ryuto Koike, Masahiro Kaneko, Ayana Niwa, Preslav Nakov, Naoaki Okazaki
JailNewsBench: Multi-Lingual and Regional Benchmark for Fake News Generation under Jailbreak AttacksICLR 2026Arxiv Masahiro Kaneko, Ayana Niwa, Timothy Baldwin
Rectifying Belief Space via Unlearning to Harness LLMs' ReasoningACL 2025 FindingsAnthologyPoster Ayana Niwa, Masahiro Kaneko, Kentaro Inui
AmbigNLG: Addressing Task Ambiguity in Instruction for NLGEMNLP 2024Anthology Ayana Niwa, Hayate Iso
Interpretability for Language Learners Using Example-Based GECACL 2022Anthology Masahiro Kaneko, Sho Takase, Ayana Niwa, Naoaki Okazaki
Predicting Antonyms in Context using BERTINLG 2021Anthology Ayana Niwa, Keisuke Nishiguchi, Naoaki Okazaki
Article / Preprint
Tracing How Language Models Integrate Temporal Anchors into Factual RecallArxiv, 2026Arxiv Ayana Niwa, Masahiro Kaneko, Kentaro Inui
Rethinking the Evaluation of LLM Fact-CheckersArxiv, 2026Arxiv Ayana Niwa, Miyu Yamada, Kouta Nakayama, Masahiro Kaneko, Hisami Suzuki, Satoshi Sekine
NLP Colloquium🚀Journal of Natural Language Processing, 2024J-STAGE Ayana Niwa, Sho Yokoi, Junya Takayama, Itsumi Saito
JUBAKU: An Adversarial Benchmark for Exposing Culturally Grounded Stereotypes in Japanese LLMsArxiv, 2026Arxiv Taihei Shiotani, Masahiro Kaneko, Ayana Niwa, Yuki Maruyama, Daisuke Oba, Masanari Ohi, Naoaki Okazaki