Search Results for author: Hiroki Sakaji

Found 14 papers, 3 papers with code

JaFIn: Japanese Financial Instruction Dataset

no code implementations14 Apr 2024 Kota Tanabe, Masahiro Suzuki, Hiroki Sakaji, Itsuki Noda

To achieve this, we propose an instruction tuning data in Japanese called JaFIn, the Japanese Financial Instruction Dataset.

Domain Adaptation Language Modelling +1

JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning

no code implementations16 Oct 2023 Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji, Satoshi Kodera

Furthermore, our results underscore the potential of adapting English-centric models for Japanese applications in domain adaptation, while also highlighting the persisting limitations of Japanese-centric models.

Domain Adaptation Multiple-choice +1

From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models

1 code implementation7 Sep 2023 Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji

We performed Low-Rank Adaptation (LoRA) tuning on both Japanese and English existing models using our instruction dataset.

llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology

1 code implementation22 May 2023 Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji

There are two ways to support languages other than English by those LLMs: constructing LLMs from scratch or tuning existing models.

Policy Gradient Stock GAN for Realistic Discrete Order Data Generation in Financial Markets

no code implementations28 Apr 2022 Masanori Hirano, Hiroki Sakaji, Kiyoshi Izumi

In some previous works, GANs for financial markets generated fake orders in continuous spaces because of GAN architectures' learning limitations.

Generative Adversarial Network

Data Combination for Problem-solving: A Case of an Open Data Exchange Platform

no code implementations21 Dec 2020 Teruaki Hayashi, Hiroki Sakaji, Hiroyasu Matsushima, Yoshiaki Fukami, Takumi Shimizu, Yukio Ohsawa

The results indicate that even datasets that have a few variables are frequently used to propose solutions for problem solving.

Computers and Society

Estimation of cross-lingual news similarities using text-mining methods

no code implementations ICLR 2018 Zhouhao Wang, Enda Liu, Hiroki Sakaji, Tomoki Ito, Kiyoshi Izumi, Kota Tsubouchi, Tatsuo Yamashita

Every second, innumerable text data, including all kinds news, reports, messages, reviews, comments, and twits have been generated on the Internet, which is written not only in English but also in other languages such as Chinese, Japanese, French and so on.

text similarity

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