Kosuke Nishida

32 papers A* 3A 1B 2C 1Journal 18Unranked 7

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Can LLMs Detect Their Own Hallucinations? CoRR Sora Kadotani, Kosuke Nishida, Kyosuke Nishida
2025	A*	`conf`	Explanation Bottleneck Models. AAAI Shin'ya Yamaguchi, Kosuke Nishida
2025	J	`jnl`	Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes. J. Nat. Lang. Process. Kosuke 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`	Rationale-Enhanced Decoding for Multi-modal Chain-of-Thought. CoRR Shin'ya Yamaguchi, Kosuke Nishida, Daiki Chijiwa
2025	J	`jnl`	Zero-shot Concept Bottleneck Models. CoRR Shin'ya Yamaguchi, Kosuke Nishida, Daiki Chijiwa, Yasutoshi Ida
2024	J	`jnl`	Explanation Bottleneck Models. CoRR Shin'ya Yamaguchi, Kosuke 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	J	`jnl`	Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge. J. Nat. Lang. Process. Kosuke Nishida, Naoki Yoshinaga, Kyosuke Nishida
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	—	`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	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
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	—	`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	—	`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`	Unsupervised Domain Adaptation of Language Models for Reading Comprehension. CoRR Kosuke Nishida, Kyosuke Nishida, Itsumi Saito, 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
2017	—	`conf`	Household energy consumption prediction by feature selection of lifestyle data. SmartGridComm Kosuke Nishida, Akiko Takeda, Satoru Iwata, Mariko Kiho, Isao Nakayama