31 citations · 52 across the 11 of their papers we have counts for
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cs.CL2024★ 5 cited
Fine-tuning large language models for domain adaptation: Exploration of training strategies, scaling, model merging and synergistic capabilities
Wei Lu, Rachel K. Luu, Markus J. Buehler
The advancement of Large Language Models (LLMs) for domain applications in fields such as materials science and engineering depends on the development of fine-tuning strategies tha…
cs.CL2023★ 2 cited
Generative retrieval-augmented ontologic graph and multi-agent strategies for interpretive large language model-based materials design
Markus J. Buehler
Transformer neural networks show promising capabilities, in particular for uses in materials analysis, design and manufacturing, including their capacity to work effectively with b…