Kyosuke Nishida

82 papers A* 11A 6B 10C 3Misc 2Journal 32Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefilling Improves Theory of Mind in Large Language Models. EACL (Findings) Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, Yoshihiro Yamazaki, Keita Suzuki, Hiroaki Sugiyama, Kuniko Saito
2025	J	`jnl`	Can LLMs Detect Their Own Hallucinations? CoRR Sora Kadotani, Kosuke Nishida, Kyosuke Nishida
2025	—	`conf`	GenerativeGUI: Dynamic GUI Generation Leveraging LLMs for Enhanced User Interaction on Chat Interfaces. CHI Extended Abstracts Nobukatsu Hojo, Kazutoshi Shinoda, Yoshihiro Yamazaki, Keita Suzuki, Hiroaki Sugiyama, Kyosuke Nishida, Kuniko Saito
2025	J	`jnl`	Implicit Sense-labeled Connective Recognition. J. Nat. Lang. Process. Yui Oka, Daiki Yanamoto, Tsutomu Hirao, Kyosuke Nishida
2025	—	`conf`	Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention. IJCNLP-AACL (Findings) Sora Kadotani, Kosuke Nishida, Kyosuke Nishida
2025	J	`jnl`	Let's Put Ourselves in Sally's Shoes: Shoes-of-Others Prefixing Improves Theory of Mind in Large Language Models. CoRR Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, Yoshihiro Yamazaki, Keita Suzuki, Hiroaki Sugiyama, Kuniko Saito
2025	J	`jnl`	Lossless Vocabulary Reduction for Auto-Regressive Language Models. CoRR Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Shin'ya Yamaguchi, Tomoya Ohba, Tamao Sakao, Susumu Takeuchi
2025	A*	`conf`	Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. ICML Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi
2025	J	`jnl`	Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models. CoRR Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi
2025	A*	`conf`	ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind. AAAI Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, Saki Mizuno, Keita Suzuki, Ryo Masumura, Hiroaki Sugiyama, Kuniko Saito
2025	J	`jnl`	ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind. CoRR Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida, Saki Mizuno, Keita Suzuki, Ryo Masumura, Hiroaki Sugiyama, Kuniko Saito
2025	A*	`conf`	VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. CVPR Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2025	J	`jnl`	VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents. CoRR Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2025	A*	`conf`	Wavelet-based Positional Representation for Long Context. ICLR Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito
2025	J	`jnl`	Wavelet-based Positional Representation for Long Context. CoRR Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito
2024	J	`jnl`	Achievements and Challenges in Japanese Question Answering: Insights from Quiz Competition Results. J. Nat. Lang. Process. Tomoki Ariyama, Jun Suzuki, Masatoshi Suzuki, Ryota Tanaka, Reina Akama, Kyosuke Nishida
2024	A*	`conf`	Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes. EMNLP Kosuke Nishida, Kyosuke Nishida, Kuniko Saito
2024	J	`jnl`	Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes. CoRR Kosuke Nishida, Kyosuke Nishida, Kuniko Saito
2024	A*	`conf`	InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. AAAI Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2024	J	`jnl`	InstructDoc: A Dataset for Zero-Shot Generalization of Visual Document Understanding with Instructions. CoRR Ryota Tanaka, Taichi Iki, Kyosuke Nishida, Kuniko Saito, Jun Suzuki
2024	J	`jnl`	Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. J. Nat. Lang. Process. Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida
2023	A*	`conf`	DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning. EMNLP Taku Hasegawa, Kyosuke Nishida, Koki Maeda, Kuniko Saito
2023	J	`jnl`	Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP. CoRR Tsuyoshi Baba, Kosuke Nishida, Kyosuke Nishida
2023	A	`conf`	Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. EACL Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida
2023	A*	`conf`	SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. AAAI Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito
2023	J	`jnl`	SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images. CoRR Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito
2023	C	`conf`	Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering. PACLIC Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida
2022	A	`conf`	Dialogue Acts Aided Important Utterance Detection Based on Multiparty and Multimodal Information. INTERSPEECH Fumio Nihei, Ryo Ishii, Yukiko I. Nakano, Kyosuke Nishida, Ryo Masumura, Atsushi Fukayama, Takao Nakamura
2022	—	`conf`	Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions. NAACL-HLT (Findings) Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka
2022	J	`jnl`	Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions. CoRR Kosuke Nishida, Kyosuke Nishida, Shuichi Nishioka
2022	A	`conf`	Japanese ASR-Robust Pre-trained Language Model with Pseudo-Error Sentences Generated by Grapheme-Phoneme Conversion. INTERSPEECH Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida, Sen Yoshida
2022	—	`conf`	Scene-Text Aware Image and Text Retrieval with Dual-Encoder. ACL (student) Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki
2022	J	`jnl`	Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. CoRR Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida
2021	—	`conf`	Task-adaptive Pre-training of Language Models with Word Embedding Regularization. ACL/IJCNLP (Findings) Kosuke Nishida, Kyosuke Nishida, Sen Yoshida
2021	J	`jnl`	Task-adaptive Pre-training of Language Models with Word Embedding Regularization. CoRR Kosuke Nishida, Kyosuke Nishida, Sen Yoshida
2021	B	`conf`	Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction. IJCNN Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida
2021	J	`jnl`	Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction. CoRR Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Sen Yoshida
2021	A*	`conf`	VisualMRC: Machine Reading Comprehension on Document Images. AAAI Ryota Tanaka, Kyosuke Nishida, Sen Yoshida
2021	J	`jnl`	VisualMRC: Machine Reading Comprehension on Document Images. CoRR Ryota Tanaka, Kyosuke Nishida, Sen Yoshida
2020	A	`conf`	A Transformer-Based Audio Captioning Model with Keyword Estimation. INTERSPEECH Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito
2020	J	`jnl`	A Transformer-based Audio Captioning Model with Keyword Estimation. CoRR Yuma Koizumi, Ryo Masumura, Kyosuke Nishida, Masahiro Yasuda, Shoichiro Saito
2020	J	`jnl`	Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models. CoRR Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Junji Tomita
2020	J	`jnl`	Length-controllable Abstractive Summarization by Guiding with Summary Prototype. CoRR Itsumi Saito, Kyosuke Nishida, Kosuke Nishida, Atsushi Otsuka, Hisako Asano, Junji Tomita, Hiroyuki Shindo, Yuji Matsumoto
2020	B	`conf`	Unsupervised Domain Adaptation of Language Models for Reading Comprehension. LREC Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Hisako Asano, Junji Tomita
2019	J	`jnl`	A Simple but Effective Method to Incorporate Multi-turn Context with BERT for Conversational Machine Comprehension. CoRR Yasuhito Ohsugi, Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita
2019	—	`conf`	Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction. ACL (1) Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita
2019	J	`jnl`	Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction. CoRR Kosuke Nishida, Kyosuke Nishida, Masaaki Nagata, Atsushi Otsuka, Itsumi Saito, Hisako Asano, Junji Tomita
2019	C	`conf`	Generalized Large-Context Language Models Based on Forward-Backward Hierarchical Recurrent Encoder-Decoder Models. ASRU Ryo Masumura, Mana Ihori, Tomohiro Tanaka, Itsumi Saito, Kyosuke Nishida, Takanobu Oba
2019	—	`conf`	Multi-style Generative Reading Comprehension. ACL (1) Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita
2019	J	`jnl`	Multi-style Generative Reading Comprehension. CoRR Kyosuke Nishida, Itsumi Saito, Kosuke Nishida, Kazutoshi Shinoda, Atsushi Otsuka, Hisako Asano, Junji Tomita
2019	J	`jnl`	Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. CoRR Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida
2019	J	`jnl`	Personalized Visited-POI Assignment to Individual Raw GPS Trajectories. ACM Trans. Spatial Algorithms Syst. Jun Suzuki, Yoshihiko Suhara, Hiroyuki Toda, Kyosuke Nishida
2019	J	`jnl`	Unsupervised Domain Adaptation of Language Models for Reading Comprehension. CoRR Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, Hisako Asano, Junji Tomita
2018	—	`conf`	Automatically Generating Head Nods with Linguistic Information. HCI (14) Ryo Ishii, Ryuichiro Higashinaka, Kyosuke Nishida, Taichi Katayama, Nozomi Kobayashi, Junji Tomita
2018	B	`conf`	Commonsense Knowledge Base Completion and Generation. CoNLL Itsumi Saito, Kyosuke Nishida, Hisako Asano, Junji Tomita
2018	—	`conf`	Natural Language Inference with Definition Embedding Considering Context On the Fly. Rep4NLP@ACL Kosuke Nishida, Kyosuke Nishida, Hisako Asano, Junji Tomita
2018	Misc	`conf`	Non-Parallel Voice Conversion Using Variational Autoencoders Conditioned by Phonetic Posteriorgrams and D-Vectors. ICASSP Yuki Saito, Yusuke Ijima, Kyosuke Nishida, Shinnosuke Takamichi
2018	—	`conf`	Query Expansion with Neural Question-to-Answer Translation for FAQ-based Question Answering. WWW (Companion Volume) Atsushi Otsuka, Kyosuke Nishida, Katsuji Bessho, Hisako Asano, Junji Tomita
2018	A	`conf`	Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension. CIKM Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, Junji Tomita
2018	J	`jnl`	Retrieve-and-Read: Multi-task Learning of Information Retrieval and Reading Comprehension. CoRR Kyosuke Nishida, Itsumi Saito, Atsushi Otsuka, Hisako Asano, Junji Tomita
2017	—	`conf`	Automatically Extracting Variant-Normalization Pairs for Japanese Text Normalization. IJCNLP(1) Itsumi Saito, Kyosuke Nishida, Kugatsu Sadamitsu, Kuniko Saito, Junji Tomita
2017	—	`conf`	Hyperspherical Query Likelihood Models with Word Embeddings. IJCNLP(2) Ryo Masumura, Taichi Asami, Hirokazu Masataki, Kugatsu Sadamitsu, Kyosuke Nishida, Ryuichiro Higashinaka
2017	—	`conf`	Improving Neural Text Normalization with Data Augmentation at Character- and Morphological Levels. IJCNLP(2) Itsumi Saito, Jun Suzuki, Kyosuke Nishida, Kugatsu Sadamitsu, Satoshi Kobashikawa, Ryo Masumura, Yuji Matsumoto, Junji Tomita
2017	—	`conf`	Predicting Destinations from Partial Trajectories Using Recurrent Neural Network. PAKDD (1) Yuki Endo, Kyosuke Nishida, Hiroyuki Toda, Hiroshi Sawada
2017	J	`jnl`	Social media knows what road it is: quantifying road characteristics with geo-tagged posts. Soc. Netw. Anal. Min. Takuya Nishimura, Kyosuke Nishida, Hiroyuki Toda, Hiroshi Sawada
2017	A*	`conf`	Understanding the Semantic Structures of Tables with a Hybrid Deep Neural Network Architecture. AAAI Kyosuke Nishida, Kugatsu Sadamitsu, Ryuichiro Higashinaka, Yoshihiro Matsuo
2016	J	`jnl`	Classifying spatial trajectories using representation learning. Int. J. Data Sci. Anal. Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Jotaro Ikedo
2016	—	`conf`	Deep Feature Extraction from Trajectories for Transportation Mode Estimation. PAKDD (2) Yuki Endo, Hiroyuki Toda, Kyosuke Nishida, Akihisa Kawanobe
2016	B	`conf`	How fashionable is each street?: Quantifying road characteristics using social media. ASONAM Takuya Nishimura, Kyosuke Nishida, Hiroyuki Toda, Hiroshi Sawada
2014	—	`ch.`	Demographic and Psychographic Estimation of Twitter Users Using Social Structures. Online Social Media Analysis and Visualization Jun Ito, Kyosuke Nishida, Takahide Hoshide, Hiroyuki Toda, Tadasu Uchiyama
2014	Misc	`conf`	Probabilistic identification of visited point-of-interest for personalized automatic check-in. UbiComp Kyosuke Nishida, Hiroyuki Toda, Takeshi Kurashima, Yoshihiko Suhara
2013	B	`conf`	What is he/she like?: estimating Twitter user attributes from contents and social neighbors. ASONAM Jun Ito, Takahide Hoshide, Hiroyuki Toda, Tadasu Uchiyama, Kyosuke Nishida
2012	A*	`conf`	Improving tweet stream classification by detecting changes in word probability. SIGIR Kyosuke Nishida, Takahide Hoshide, Ko Fujimura
2011	C	`conf`	Dynamic Network Motifs: Evolutionary Patterns of Substructures in Complex Networks. APWeb Yutaka Kabutoya, Kyosuke Nishida, Ko Fujimura
2010	A	`conf`	Hierarchical auto-tagging: organizing Q&A knowledge for everyone. CIKM Kyosuke Nishida, Ko Fujimura
2009	B	`conf`	Learning, detecting, understanding, and predicting concept changes. IJCNN Kyosuke Nishida, Koichiro Yamauchi
2008	B	`conf`	Detecting sudden concept drift with knowledge of human behavior. SMC Kyosuke Nishida, Shohei Shimada, Satoru Ishikawa, Koichiro Yamauchi
2007	B	`conf`	Detecting Concept Drift Using Statistical Testing. Discovery Science Kyosuke Nishida, Koichiro Yamauchi
2007	B	`conf`	Quick online feature selection method for regression -A feature selection method inspired by human behavior-. SMC Youhei Tadeuchi, Ryuji Oshima, Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
2006	J	`jnl`	An online learning algorithm with dimension selection using minimal hyper basis function networks. Syst. Comput. Jpn. Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
2005	—	`conf`	ACE: Adaptive Classifiers-Ensemble System for Concept-Drifting Environments. Multiple Classifier Systems Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori
2004	B	`conf`	An On-Line Learning Algorithm with Dimension Selection Using Minimal Hyper Basis Function Networks. ICONIP Kyosuke Nishida, Koichiro Yamauchi, Takashi Omori