2 papers
cs.CL2024
Enhancing Financial Domain Adaptation of Language Models via Model Augmentation
Kota Tanabe, Masanori Hirano, Kazuki Matoya +3
The domain adaptation of language models, including large language models (LLMs), has become increasingly important as the use of such models continues to expand. This study demons…
cs.CL2024
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…