Kosuke Nishida

According to our database1, Kosuke Nishida authored at least 23 papers between 2017 and 2026.

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Bibliography

2026
Debiasing Reward Models via Causally Motivated Inference-Time Intervention.
CoRR, April, 2026

Relative Density Ratio Optimization for Stable and Statistically Consistent Model Alignment.
CoRR, April, 2026

2025
Can LLMs Detect Their Own Hallucinations?
CoRR, November, 2025

Rationale-Enhanced Decoding for Multi-modal Chain-of-Thought.
CoRR, July, 2025

Zero-shot Concept Bottleneck Models.
CoRR, February, 2025

Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes.
J. Nat. Lang. Process., 2025

Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention.
Proceedings of the 14th International Joint Conference on Natural Language Processing and the 4th Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2025

Explanation Bottleneck Models.
Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024
Initialization of Large Language Models via Reparameterization to Mitigate Loss Spikes.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023
Robust Text-driven Image Editing Method that Adaptively Explores Directions in Latent Spaces of StyleGAN and CLIP.
CoRR, 2023

Sparse Neural Retrieval Model for Efficient Cross-Domain Retrieval-Based Question Answering.
Proceedings of the 37th Pacific Asia Conference on Language, 2023

Self-Adaptive Named Entity Recognition by Retrieving Unstructured Knowledge.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Improving Few-Shot Image Classification Using Machine- and User-Generated Natural Language Descriptions.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

2021
Towards Interpretable and Reliable Reading Comprehension: A Pipeline Model with Unanswerability Prediction.
Proceedings of the International Joint Conference on Neural Networks, 2021

Task-adaptive Pre-training of Language Models with Word Embedding Regularization.
Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020
Abstractive Summarization with Combination of Pre-trained Sequence-to-Sequence and Saliency Models.
CoRR, 2020

Length-controllable Abstractive Summarization by Guiding with Summary Prototype.
CoRR, 2020

Unsupervised Domain Adaptation of Language Models for Reading Comprehension.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

2019
Multi-style Generative Reading Comprehension.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

Answering while Summarizing: Multi-task Learning for Multi-hop QA with Evidence Extraction.
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018
Natural Language Inference with Definition Embedding Considering Context On the Fly.
Proceedings of The Third Workshop on Representation Learning for NLP, 2018

2017
Household energy consumption prediction by feature selection of lifestyle data.
Proceedings of the 2017 IEEE International Conference on Smart Grid Communications, 2017


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