| 2026 | ACL | Debiasing Reward Models via Causally Motivated Inference-Time Intervention. | Kazutoshi Shinoda, Kosuke Nishida, Kyosuke Nishida |
| 2026 | EACL | Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models. | Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, Yoshihiro Yamazaki, Keita Suzuki, Hiroaki Sugiyama, Kuniko Saito |
| 2026 | LREC | InstructSum: A Benchmark to Evaluate Instruction-Following Capability of Large Language Models in Summarization. | Kosuke Nishida, Kyosuke Nishida, Itsumi Saito |
| 2025 | AAAI | 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 |
| 2025 | CHI | 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 |
| 2025 | CVPR | VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. | Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki |
| 2025 | ICLR | Wavelet-based Positional Representation for Long Context. | Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito |
| 2025 | ICML | Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. | Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi |
| 2025 | IJCNLP | Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention. | Sora Kadotani, Kosuke Nishida, Kyosuke Nishida |
| 2024 | AAAI | InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. | Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki |
| 2024 | EMNLP | Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes. | Kosuke Nishida, Kyosuke Nishida, Kuniko Saito |
| 2023 | AAAI | SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. | Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito |
| 2023 | EACL | Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. | Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida |
| 2023 | EMNLP | DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. | Taku Hasegawa, Kyosuke Nishida, Koki Maeda, Kuniko Saito |
| 2023 | PACLIC | Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering. | Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida |
| 2022 | ACL | Scene-Text Aware Image and Text Retrieval with Dual-Encoder. | Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki |
| 2022 | Interspeech | Dialogue Acts Aided Important Utterance Detection Based on Multiparty and Multimodal Information. | Fumio Nihei, Ryo Ishii, Yukiko I. Nakano, Kyosuke Nishida, Ryo Masumura, Atsushi Fukayama, Takao Nakamura |
| 2022 | Interspeech | Japanese ASR-Robust Pre-trained Language Model with Pseudo-Error Sentences Generated by Grapheme-Phoneme Conversion. | Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida, Sen Yoshida |
| 2022 | NAACL | Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions. | Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka |
| 2021 | AAAI | VisualMRC: Machine Reading Comprehension on Document Images. | Ryota Tanaka, Kyosuke Nishida, Sen Yoshida |
| 2021 | ACL | Task-adaptive Pre-training of Language Models with Word Embedding Regularization. | Kosuke Nishida, Kyosuke Nishida, Sen Yoshida |
| 2021 | IJCNN | Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction. | Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida |
| 2020 | Interspeech | A Transformer-Based Audio Captioning Model with Keyword Estimation. | Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito |
| 2020 | LREC | Unsupervised Domain Adaptation of Language Models for Reading Comprehension. | Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Hisako Asano, Junji Tomita |
| 2019 | ACL | Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction. | Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita |
| 2019 | ACL | Multi-style Generative Reading Comprehension. | Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita |
| 2019 | ASRU | Generalized Large-Context Language Models Based on Forward-Backward Hierarchical Recurrent Encoder-Decoder Models. | Ryo Masumura, Mana Ihori, Tomohiro Tanaka, Itsumi Saito, Kyosuke Nishida, Takanobu Oba |
| 2018 | CIKM | Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension. | Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, Junji Tomita |
| 2018 | CoNLL | Commonsense Knowledge Base Completion and Generation. | Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita |
| 2018 | HCI | Automatically Generating Head Nods with Linguistic Information. | Ryo Ishii, Ryuichiro Higashinaka, Kyosuke Nishida, Taichi Katayama, Nozomi Kobayashi, Junji Tomita |
| 2018 | ICASSP | Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors. | Yuki Saito, Yusuke Ijima, Kyosuke Nishida, Shinnosuke Takamichi |
| 2018 | WWW | Query Expansion with Neural Question-to-Answer Translation for FAQ-based Question Answering. | Atsushi Otsuka, Kyosuke Nishida, Katsuji Bessho, Hisako Asano, Junji Tomita |
| 2017 | AAAI | Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture. | Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo |
| 2017 | IJCNLP | Hyperspherical Query Likelihood Models with Word Embeddings. | Ryo Masumura, Taichi Asami, Hirokazu Masataki, Kugatsu Sadamitsu, Kyosuke Nishida, Ryuichiro Higashinaka |
| 2017 | IJCNLP | Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization. | Itsumi Saito, Kyosuke Nishida, Kugatsu Sadamitsu, Kuniko Saito, Junji Tomita |
| 2017 | IJCNLP | Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. | Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Yuji Matsumoto, Junji Tomita |
| 2017 | PAKDD | Predicting Destinations from Partial Trajectories Using Recurrent Neural Network. | Yuki Endo, Kyosuke Nishida, Hiroyuki Toda, Hiroshi Sawada |
| 2016 | PAKDD | Deep Feature Extraction from Trajectories for Transportation Mode Estimation. | Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Akihisa Kawanobe |
| 2012 | SIGIR | Improving tweet stream classification by detecting changes in word probability. | Kyosuke Nishida, Takahide Hoshide, Ko Fujimura |
| 2011 | APWEB | Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks. | Yutaka Kabutoya, Kyosuke Nishida, Ko Fujimura |
| 2010 | CIKM | Hierarchical auto-tagging: organizing Q&A knowledge for everyone. | Kyosuke Nishida, Ko Fujimura |
| 2009 | IJCNN | Learning, detecting, understanding, and predicting concept changes. | Kyosuke Nishida, Koichiro Yamauchi |
| 2008 | SMC | Detecting sudden concept drift with knowledge of human behavior. | Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, Koichiro Yamauchi |
| 2007 | DIS | Detecting Concept Drift Using Statistical Testing. | Kyosuke Nishida, Koichiro Yamauchi |
| 2007 | SMC | Quick online feature selection method for regression -A feature selection method inspired by human behavior-. | Youhei Tadeuchi, Ryuji Oshima, Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori |
| 2004 | ICONIP | An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. | Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori |