35 citations · 35 across the 2 of their papers we have counts for
2 papers
cs.CL2024
Sampling Latent Material-Property Information From LLM-Derived Embedding Representations
Luke P. J. Gilligan, Matteo Cobelli, Hasan M. Sayeed +2
Vector embeddings derived from large language models (LLMs) show promise in capturing latent information from the literature. Interestingly, these can be integrated into material e…
cond-mat.mtrl-sci2023★ 35 cited
A rule-free workflow for the automated generation of databases from scientific literature
Luke P. J. Gilligan, Matteo Cobelli, Valentin Taufour +1
In recent times, transformer networks have achieved state-of-the-art performance in a wide range of natural language processing tasks. Here we present a workflow based on the fine-…