A fine-tuned LLaMA-2-7B model trained with selected LLM-generated data improves extraction of chemical synthesis actions from experimental text.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
ChemActor: Enhancing Automated Extraction of Chemical Synthesis Actions with LLM-Generated Data
A fine-tuned LLaMA-2-7B model trained with selected LLM-generated data improves extraction of chemical synthesis actions from experimental text.