Hasegawa, Taku

6 publications

ICML 2025 Portable Reward Tuning: Towards Reusable Fine-Tuning Across Different Pretrained Models Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi

CVPR 2025 VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents Ryota Tanaka, Taichi Iki, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Jun Suzuki

ICLR 2025 Wavelet-Based Positional Representation for Long Context Yui Oka, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito

ICMLW 2024 Base-Change at Prediction: Inference-Time Update of Fine-Tuned Models Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito, Susumu Takeuchi

AAAI 2023 SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images Ryota Tanaka, Kyosuke Nishida, Kosuke Nishida, Taku Hasegawa, Itsumi Saito, Kuniko Saito

ICMLW 2020 A Study on Intentional-Value-Substitution Training for Regression with Incomplete Information Takuya Fukushima, Tomoharu Nakashima, Taku Hasegawa, Vicenç Torra