Get started
Author

Taku Hasegawa

Observed names: Hasegawa Taku, Hasegawa, Taku, Taku HASEGAWA
Institution: NTT (Japan)
ORCID: 0009-0003-2037-2717
Observed ORCID: 0009-0003-2037-2717
OpenAlex ID: A5084942331
SlideVQA: A Dataset for Document Visual Question Answering on Multiple Images
2023 · Ryota Tanaka, Kyosuke Nishida, et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 63
PDF
VDocRAG: Retrieval-Augmented Generation over Visually-Rich Documents
2025 · Ryota Tanaka, Taichi Iki, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 23
PDF
Scene-Text Aware Image and Text Retrieval with Dual-Encoder
2022 · Shumpei Miyawaki, Taku Hasegawa, et al. · Annual Meeting of the Association for Computational Linguistics: Student Research Workshop (ACL SRW) · 9
PDF
DueT: Image-Text Contrastive Transfer Learning with Dual-adapter Tuning
2023 · Taku Hasegawa, Kyosuke Nishida, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 5
PDF
Adaptive Control of Parameter-less Population Pyramid on the Local Distribution of Inferior Individuals
2015 · Kazuyuki Inoue, Taku Hasegawa, et al. · Genetic and Evolutionary Computation Conference (GECCO) · 4
Relaxation Method of Convolutional Neural Networks for Natural Language Processing
2018 · Ryo Iwasaki, Taku Hasegawa, et al. · Advances in intelligent systems and computing · 3
Novel virtual fitness evaluation framework for fitness landscape learning evolutionary computation
2014 · Taku Hasegawa, Kaname Matsumura, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion) · 3
A consideration on robust design optimization problem through formulation of multiobjective optimization
2018 · Makoto ITO, Nozomu KOGISO, et al. · Journal of Advanced Mechanical Design Systems and Manufacturing · 2
PDF
CMA-ES with Surrogate Model Adapting to Fitness Landscape
2016 · Kento Tsukada, Taku Hasegawa, et al. · Proceedings in adaptation, learning and optimization · 2
Analyzing exploration exploitation trade-off by means of P-I similarity index and dictyostelium based genetic algorithm
2015 · Kazuyuki Inoue, Taku Hasegawa, et al. · IEEE Congress on Evolutionary Computation (CEC) · 2
Sparse Contextual Sentence Representation for Fast Information Retrieval
2020 · Taku Hasegawa, Kyosuke Nishida, et al. · The Japanese Society for Artificial Intelligence · 1
Estimating Optimal Values for Intentional-Value-Substitution Learning
2019 · Takuya Fukushima, Taku Hasegawa, et al. · Lecture notes in computer science · 1
The Convolutional Neural Network Model Based on an Evolutionary Approach For Interactive Picture Book
2016 · Saya Fujino, Taku Hasegawa, et al. · Proceedings in adaptation, learning and optimization · 1
Parallel In-Context Learning for Large Vision Language Models
2026 · Shin'ya Yamaguchi, Daiki Chijiwa, et al.
Parallel In-context Learning for Large Vision Language Models
2026 · Yamaguchi, Shin'ya, Chijiwa, Daiki, et al. · arXiv (Cornell University)
PDF
CMDR: Contextual Multimodal Document Retrieval
2026 · Ryota Tanaka, Taku Hasegawa, et al. · Lecture notes in computer science
PDF
Conservative Inference-Time Tuning with an Improvement Guarantee
2026 · Daiki Chijiwa, Taku Hasegawa · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
PDF
Lossless Vocabulary Reduction for Auto-Regressive Language Models
2025 · Chijiwa, Daiki, Hasegawa, Taku, et al. · arXiv (Cornell University)
PDF
Portable Reward Tuning: Towards Reusable Fine-Tuning across Different Pretrained Models
2025 · Chijiwa, Daiki, Hasegawa, Taku, et al. · arXiv (Cornell University)
PDF
Wavelet-based Positional Representation for Long Context
2025 · Oka, Yui, Hasegawa, Taku, et al. · arXiv (Cornell University)
PDF
Optimal Value Estimation of Intentional-Value-Substitution for Learning Regression Models
2021 · Takuya Fukushima, Tomoharu Nakashima, et al. · Journal of Advanced Computational Intelligence and Intelligent Informatics
A Study on Intentional-Value-Substitution Training for Regression with Incomplete Information
2020 · Takuya Fukushima, Tomoharu Nakashima, et al.
A Study on a Parallelization of Parameter-Less Population Pyramid
2018 · Taku Hasegawa, Tomoharu Nakashima · Joint International Conference on Soft Computing and Intelligent Systems and International Symposium on Advanced Intelligent Systems (SCIS&ISIS)
Genetic Programming with Multi-Layered Population Structure for Software Evolution
2018 · Hasegawa Taku, Mori Naoki, et al. · Frontiers in artificial intelligence and applications
Analysis of scaling for fitness landscape learning evolutionary computation based on CMA-ES
2017 · Naoki Mori, Taku Hasegawa, et al. · Genetic and Evolutionary Computation Conference Companion (GECCO Companion)
Works count: 34
Citation count: 119
H-index: 4
I10-index: 2
Year
Topic
Type