6 citations · 12 across the 9 of their papers we have counts for
9 papers
JFinTEB: Japanese Financial Text Embedding Benchmark
Masahiro Suzuki, Hiroki Sakaji
We introduce JFinTEB, the first comprehensive benchmark specifically designed for evaluating Japanese financial text embeddings. Existing embedding benchmarks provide limited cover…
Refined and Segmented Price Sentiment Indices from Survey Comments
Masahiro Suzuki, Hiroki Sakaji
We aim to enhance a price sentiment index and to more precisely understand price trends from the perspective of not only consumers but also businesses. We extract comments related…
Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language Models
Meiyun Wang, Masahiro Suzuki, Hiroki Sakaji +1
Large Language Models (LLMs) have demonstrated exceptional capabilities across various machine learning (ML) tasks. Given the high costs of creating annotated datasets for supervis…
Economy Watchers Survey Provides Datasets and Tasks for Japanese Financial Domain
Masahiro Suzuki, Hiroki Sakaji
Natural language processing (NLP) tasks in English and general domains are widely available and are often used to evaluate pre-trained language models. In contrast, fewer tasks are…
JaFIn: Japanese Financial Instruction Dataset
Kota Tanabe, Masahiro Suzuki, Hiroki Sakaji +1
We construct an instruction dataset for the large language model (LLM) in the Japanese finance domain. Domain adaptation of language models, including LLMs, is receiving more atten…
Is ChatGPT the Future of Causal Text Mining? A Comprehensive Evaluation and Analysis
Takehiro Takayanagi, Masahiro Suzuki, Ryotaro Kobayashi +2
Causality is fundamental in human cognition and has drawn attention in diverse research fields. With growing volumes of textual data, discerning causalities within text data is cru…
JMedLoRA:Medical Domain Adaptation on Japanese Large Language Models using Instruction-tuning
Issey Sukeda, Masahiro Suzuki, Hiroki Sakaji +1
In the ongoing wave of impact driven by large language models (LLMs) like ChatGPT, the adaptation of LLMs to medical domain has emerged as a crucial research frontier. Since mainst…
From Base to Conversational: Japanese Instruction Dataset and Tuning Large Language Models
Masahiro Suzuki, Masanori Hirano, Hiroki Sakaji
Instruction tuning is essential for large language models (LLMs) to become interactive. While many instruction tuning datasets exist in English, there is a noticeable lack in other…
llm-japanese-dataset v0: Construction of Japanese Chat Dataset for Large Language Models and its Methodology
Masanori Hirano, Masahiro Suzuki, Hiroki Sakaji
This study constructed a Japanese chat dataset for tuning large language models (LLMs), which consist of about 8.4 million records. Recently, LLMs have been developed and gaining p…