Taku Hasegawa

27 papers A* 5A 1B 3C 4Misc 1Journal 7Unranked 6
YearRankTypeTitle / Venue / Authors
2026 J jnl
Parallel In-context Learning for Large Vision Language Models.
CoRR
Shin'ya Yamaguchi, Daiki Chijiwa, Tamao Sakao, Taku Hasegawa
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
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
2023 A* conf
DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning.
EMNLP
Taku Hasegawa, Kyosuke Nishida, Koki Maeda, Kuniko Saito
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
2022 — conf
Scene-Text Aware Image and Text Retrieval with Dual-Encoder.
ACL (student)
Shumpei Miyawaki, Taku Hasegawa, Kyosuke Nishida, Takuma Kato, Jun Suzuki
2021 J jnl
Optimal Value Estimation of Intentional-Value-Substitution for Learning Regression Models.
J. Adv. Comput. Intell. Intell. Informatics
Takuya Fukushima, Tomoharu Nakashima, Taku Hasegawa, Vicenç Torra
2019 B conf
Estimating Optimal Values for Intentional-Value-Substitution Learning.
MDAI
Takuya Fukushima, Taku Hasegawa, Tomoharu Nakashima
2018 — conf
A Study on a Parallelization of Parameter-Less Population Pyramid.
SCIS&ISIS
Taku Hasegawa, Tomoharu Nakashima
2018 C conf
Genetic Programming with Multi-Layered Population Structure for Software Evolution.
SoMeT
Taku Hasegawa, Naoki Mori, Keinosuke Matsumoto
2018 Misc conf
Relaxation Method of Convolutional Neural Networks for Natural Language Processing.
DCAI
Ryo Iwasaki, Taku Hasegawa, Naoki Mori, Keinosuke Matsumoto
2017 — conf
Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ES.
GECCO (Companion)
Naoki Mori, Taku Hasegawa, Kento Tsukada, Keinosuke Matsumoto
2017 — conf
Genetic programming with multi-layered population structure.
GECCO (Companion)
Taku Hasegawa, Naoki Mori, Keinosuke Matsumoto
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Saya Fujino, Taku Hasegawa, Miki Ueno, Naoki Mori, Keinosuke Matsumoto
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Taku Hasegawa, Yuta Araki, Naoki Mori, Keinosuke Matsumoto
2016 C conf
Proceedings in Adaptation, Learning and Optimization.
IES
Kento Tsukada, Taku Hasegawa, Naoki Mori, Keinosuke Matsumoto
2015 A conf
Adaptive Control of Parameter-less Population Pyramid on the Local Distribution of Inferior Individuals.
GECCO
Kazuyuki Inoue, Taku Hasegawa, Yuta Araki, Naoki Mori, Keinosuke Matsumoto
2015 — conf
Adaptive Evolution Control with P-I Similarity Index for Surrogate-assisted Evolutionary Computation.
GECCO (Companion)
Taku Hasegawa, Kento Tsukada, Naoki Mori, Keinosuke Matsumoto
2015 B conf
Analyzing Exploration Exploitation Trade-off by means of P-I similarity index and Dictyostelium based Genetic Algorithm.
CEC
Kazuyuki Inoue, Taku Hasegawa, Naoki Mori, Keinosuke Matsumoto
2015 B conf
Search dynamics of Fitness Landscape Learning Evolutionary Computation with two types of evolution control.
CEC
Taku Hasegawa, Kento Tsukada, Naoki Mori, Keinosuke Matsumoto
2014 — conf
Novel virtual fitness evaluation framework for fitness landscape learning evolutionary computation.
GECCO (Companion)
Taku Hasegawa, Kaname Matsumura, Kaiki Tsuchie, Naoki Mori, Keinosuke Matsumoto