GitHub

liguobao/llm-flow-engine

A DSL-based LLM workflow engine that supports multi-model collaboration, dependency management, and result aggregation. Define complex AI workflows through YAML configuration files and enable ...
GitHub

Zero-Shot Document-Level Biomedical Relation Extraction via Scenario-based Prompt Design in Two-Stage with LLM

Document-level biomedical relation extraction is a crucial yet challenging task due to the complex interactions among multiple entities distributed across lengthy scientific texts. Traditional ...
IEEE

Fusion of XAI and LLM: Automatic Topic Name Extraction from Text Data Using Approximate Inverse Model Explanations (AIME)

Abstract: In this paper, we propose an automatic topic-name extraction method that combines explainable AI (XAI) and a large language model (LLM) for text datasets. In the past, topic models such as ...
IEEE

Data-Centric Fine-Tuning of Small Language Models for Automatic Extraction of Technical Requirements

Abstract: Training small language models for specific tasks often encounters a significant challenge: the limited availability of high-quality labeled data, which can restrict model performance. This ...

Unearthing experimental materials data buried in scientific papers using LLMs

Technologies that underpin modern society, such as smartphones and automobiles, rely on a diverse range of functional materials. Materials scientists are therefore working to develop and improve new ...