Hasegawa, Taku

8 publications

ICLR 2026 Lossless Vocabulary Reduction for Auto-Regressive Language Models Daiki Chijiwa, Taku Hasegawa, Kyosuke Nishida, Shin'ya Yamaguchi, Tomoya Ohba, Tamao Sakao, Susumu Takeuchi

ICLR 2026 Probing Rotary Position Embeddings Through Frequency Entropy Yui Oka, Kentaro Hanafusa, Taku Hasegawa, Kyosuke Nishida, Kuniko Saito

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