Taku Hasegawa - RankMe

27 papers A* 5A 1B 3C 4Misc 1Journal 7Unranked 6

Year	Rank	Type	Title / 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