Search Results for author: Kiyoshi Izumi

Found 14 papers, 2 papers with code

Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models

1 code implementation22 Aug 2024 Meiyun Wang, Masahiro Suzuki, Hiroki Sakaji, Kiyoshi Izumi

Additionally, current methods for knowledge distillation using LLMs often struggle to enhance the effectiveness of both teacher and student models.

In-Context Learning Knowledge Distillation +3

LLMFactor: Extracting Profitable Factors through Prompts for Explainable Stock Movement Prediction

no code implementations16 Jun 2024 Meiyun Wang, Kiyoshi Izumi, Hiroki Sakaji

Recently, Large Language Models (LLMs) have attracted significant attention for their exceptional performance across a broad range of tasks, particularly in text analysis.

Sentiment Analysis Time Series +1

PAMS: Platform for Artificial Market Simulations

1 code implementation19 Sep 2023 Masanori Hirano, Ryosuke Takata, Kiyoshi Izumi

This paper presents a new artificial market simulation platform, PAMS: Platform for Artificial Market Simulations.

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

Deep Recurrent Factor Model: Interpretable Non-Linear and Time-Varying Multi-Factor Model

no code implementations20 Jan 2019 Kei Nakagawa, Tomoki Ito, Masaya Abe, Kiyoshi Izumi

Specifically, we extend the linear multi-factor model to be non-linear and time-varying with LSTM.

Management

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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