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Found 3 papers, 1 papers with code
Pretraining and Updating Language- and Domain-specific Large Language Model: A Case Study in Japanese Business Domain
This study explores the combination of a non-English language and a high-demand industry domain, focusing on a Japanese business-specific LLM.
Training Generative Question-Answering on Synthetic Data Obtained from an Instruct-tuned Model
This paper presents a simple and cost-effective method for synthesizing data to train question-answering systems.
Fully Neural Network based Model for General Temporal Point Processes
We herein propose a novel RNN based model in which the time course of the intensity function is represented in a general manner.
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