Automatic Generation of Review Matrices as Multi-document Summarization of Scientific Papers. - Hayato Hashimoto; Kazutoshi Shinoda; Hikaru Yokono; Akiko Aizawa (BIRNDL@SIGIR (1), 2017)

Query-focused Scientific Paper Summarization with Localized Sentence Representation. - Kazutoshi Shinoda; Akiko Aizawa (BIRNDL@SIGIR, 2018)

Multi-style Generative Reading Comprehension. - Kyosuke Nishida; Itsumi Saito; Kosuke Nishida; Kazutoshi Shinoda; Atsushi Otsuka; Hisako Asano; Junji Tomita (ACL (1), 2019)

NII Table Linker at the NTCIR-15 Data Search Task: Re-ranking with Pre-trained Contextualized Embeddings, Data Content, Entity-centric, and Cluster-based approaches. - Phuc Nguyen 001; Kazutoshi Shinoda; Taku Sakamoto; Diana Petrescu; Hung-Nghiep Tran; Atsuhiro Takasu; Akiko Aizawa; Hideaki Takeda 001 (NTCIR, 2020)

Variational Question-Answer Pair Generation for Machine Reading Comprehension. - Kazutoshi Shinoda; Akiko Aizawa (CoRR, 2020)

Improving the Robustness of QA Models to Challenge Sets with Variational Question-Answer Pair Generation. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (ACL (student), 2021)

Can Question Generation Debias Question Answering Models? A Case Study on Question-Context Lexical Overlap. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (CoRR, 2021)

Look to the Right: Mitigating Relative Position Bias in Extractive Question Answering. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (BlackboxNLP@EMNLP, 2022)

Penalizing Confident Predictions on Largely Perturbed Inputs Does Not Improve Out-of-Distribution Generalization in Question Answering. - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (CoRR, 2022)

Which Shortcut Solution Do Question Answering Models Prefer to Learn? - Kazutoshi Shinoda; Saku Sugawara; Akiko Aizawa (AAAI, 2023)

Improving the Robustness to Variations of Objects and Instructions with a Neuro-Symbolic Approach for Interactive Instruction Following. - Kazutoshi Shinoda; Yuki Takezawa; Masahiro Suzuki 001; Yusuke Iwasawa; Yutaka Matsuo (MMM (2), 2023)

Talking Face Generation for Impression Conversion Considering Speech Semantics. - Saki Mizuno; Nobukatsu Hojo; Kazutoshi Shinoda; Keita Suzuki; Mana Ihori; Hiroshi Sato; Tomohiro Tanaka; Naotaka Kawata; Satoshi Kobashikawa; Ryo Masumura (ICASSP, 2024)

Unified Multi-Talker ASR with and without Target-speaker Enrollment. - Ryo Masumura; Naoki Makishima; Tomohiro Tanaka; Mana Ihori; Naotaka Kawata; Shota Orihashi; Kazutoshi Shinoda; Taiga Yamane; Saki Mizuno; Keita Suzuki; Satoshi Suzuki; Nobukatsu Hojo; et al. (INTERSPEECH, 2024)

Learning from Multiple Annotator Biased Labels in Multimodal Conversation. - Kazutoshi Shinoda; Nobukatsu Hojo; Saki Mizuno; Keita Suzuki; Satoshi Kobashikawa; Ryo Masumura (INTERSPEECH, 2024)

Participant-Pair-Wise Bottleneck Transformer for Engagement Estimation from Video Conversation. - Keita Suzuki; Nobukatsu Hojo; Kazutoshi Shinoda; Saki Mizuno; Ryo Masumura (INTERSPEECH, 2024)

ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind. - Kazutoshi Shinoda; Nobukatsu Hojo; Kyosuke Nishida; Saki Mizuno; Keita Suzuki; Ryo Masumura; Hiroaki Sugiyama; Kuniko Saito (AAAI, 2025)

GenerativeGUI: Dynamic GUI Generation Leveraging LLMs for Enhanced User Interaction on Chat Interfaces. - Nobukatsu Hojo; Kazutoshi Shinoda; Yoshihiro Yamazaki; Keita Suzuki; Hiroaki Sugiyama; Kyosuke Nishida; Kuniko Saito (CHI Extended Abstracts, 2025)

Data stream-pairwise bottleneck transformer for engagement estimation from video conversation. - Keita Suzuki; Nobukatsu Hojo; Kazutoshi Shinoda; Saki Mizuno; Ryo Masumura (Frontiers Artif. Intell., 2025)

Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefixing Improves Theory of Mind in Large Language Models. - Kazutoshi Shinoda; Nobukatsu Hojo; Kyosuke Nishida; Yoshihiro Yamazaki; Keita Suzuki; Hiroaki Sugiyama; Kuniko Saito (CoRR, 2025)