Dynamic language model representations for multi-objective reaction optimisation
Textual descriptions of reaction conditions are encoded by a fine-tuned language model trained jointly with Gaussian process surrogates, yielding task-adaptive representations within a multi-objective Bayesian optimisation loop.
Joshua W. Sin, David Ming Segura, Bojana Ranković et al.
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