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Found 4 papers, 3 papers with code
Mining experimental data from Materials Science literature with Large Language Models: an evaluation study
This study is dedicated to assessing the capabilities of large language models (LLMs) such as GPT-3. 5-Turbo, GPT-4, and GPT-4-Turbo in extracting structured information from scientific documents in materials science.
Semi-automatic staging area for high-quality structured data extraction from scientific literature
For manual operations, the interface (SuperCon2 interface) is developed to increase efficiency during manual correction by providing a smart interface and an enhanced PDF document viewer.
AdapterEM: Pre-trained Language Model Adaptation for Generalized Entity Matching using Adapter-tuning
Entity Matching (EM) involves identifying different data representations referring to the same entity from multiple data sources and is typically formulated as a binary classification problem.
Scaling Fine-grained Modularity Clustering for Massive Graphs
To overcome the aforementioned weaknesses, gScarf dynamically prunes unnecessary nodes and edges, ensuring that it captures fine-grained clusters.
Social and Information Networks Data Structures and Algorithms Physics and Society 62H30
