214 citations · 431 across the 11 of their papers we have counts for
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cond-mat.mtrl-sci2023★ 214 cited
14 Examples of How LLMs Can Transform Materials Science and Chemistry: A Reflection on a Large Language Model Hackathon
Kevin Maik Jablonka, Qianxiang Ai, Alexander Al-Feghali +50
Large-language models (LLMs) such as GPT-4 caught the interest of many scientists. Recent studies suggested that these models could be useful in chemistry and materials science. To…
cs.CL2023
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource Languages
Vesa Akerman, David Baines, Damien Daspit +7
Efficiently and accurately translating a corpus into a low-resource language remains a challenge, regardless of the strategies employed, whether manual, automated, or a combination…