3260 papers • 126 benchmarks • 313 datasets
The functional description generation task, which not only evaluates the reasoning capability of the language model in determining the function of a protein sequence but also assesses the efficacy of the language model's text generation.
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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.
Adding a benchmark result helps the community track progress.