15 citations · 19 across the 2 of their papers we have counts for
3 papers
RegExtract: A Benchmark for PFAS Regulatory Information Extraction with LLMs
Defne Circi, Krystelle Lionti, Sarathkrishna Swaminathan +8
Extracting structured information from regulatory documents is a critical but challenging task. Relevant facts are scattered across long, legally dense texts, and traceability of e…
Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials Design
Nathaniel H. Park, Tiffany J. Callahan, James L. Hedrick +2
Molecular property prediction and generative design via deep learning models has been the subject of intense research given its potential to accelerate development of new, high-per…
Language models in molecular discovery
Nikita Janakarajan, Tim Erdmann, Sarath Swaminathan +2
The success of language models, especially transformer-based architectures, has trickled into other domains giving rise to "scientific language models" that operate on small molecu…