medical-1
Reagent Prediction
3260 papers • 126 benchmarks • 313 datasets
Reagent prediction endeavors to ascertain the suitable catalysts, solvents, or ancillary substances required for a specific chemical reaction. This endeavor facilitates chemists in uncovering novel reaction types and mechanisms, identifying more optimal or eco-friendly reaction conditions, and ultimately streamlining the comprehensive chemical process to attain maximal cost-effectiveness and environmental stewardship.
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Mol-Instruction
Mol-Instruction
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Most implemented papers
Mol-Instructions: A Large-Scale Biomolecular Instruction Dataset for Large Language Models
Huajun Chen, Xiaozhuan Liang, Zhuo Chen, Yin Fang, Ningyu Zhang, Kangwei Liu, Rui Huang, Xiaohui Fan•Mon Jun 12 2023
Through extensive instruction tuning experiments on LLMs, the effectiveness of Mol-Instructions is demonstrated in enhancing large models' performance in the intricate realm of biomolecular studies, thus fostering progress in the biomolescular research community.
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