2 code implementations • 10 Jun 2025 • Issa Sugiura, Takashi Ishida, Taro Makino, Chieko Tazuke, Takanori Nakagawa, Kosuke Nakago, David Ha
To address this gap, we introduce EDINET-Bench, an open-source Japanese financial benchmark designed to evaluate the performance of LLMs on challenging financial tasks including accounting fraud detection, earnings forecasting, and industry prediction.
no code implementations • 10 Oct 2024 • Preferred Elements, :, Kenshin Abe, Kaizaburo Chubachi, Yasuhiro Fujita, Yuta Hirokawa, Kentaro Imajo, Toshiki Kataoka, Hiroyoshi Komatsu, Hiroaki Mikami, Tsuguo Mogami, Shogo Murai, Kosuke Nakago, Daisuke Nishino, Toru Ogawa, Daisuke Okanohara, Yoshihiko Ozaki, Shotaro Sano, Shuji Suzuki, Tianqi Xu, Toshihiko Yanase
We introduce PLaMo-100B, a large-scale language model designed for Japanese proficiency.
no code implementations • 25 Sep 2019 • Kaushalya Madhawa, katsuhiko Ishiguro, Kosuke Nakago, Motoki Abe
In contrast, our model is the first invertible model for the whole graph components: both of dequantized node attributes and adjacency tensor are converted into latent vectors through two novel invertible flows.
3 code implementations • 28 May 2019 • Kaushalya Madhawa, Katushiko Ishiguro, Kosuke Nakago, Motoki Abe
We propose GraphNVP, the first invertible, normalizing flow-based molecular graph generation model.
1 code implementation • 4 Jul 2018 • Hirotaka Akita, Kosuke Nakago, Tomoki Komatsu, Yohei Sugawara, Shin-ichi Maeda, Yukino Baba, Hisashi Kashima
A possible approach to answer this question is to visualize evidence substructures responsible for the predictions.