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biological sequence classification

topic1 events
papersSEP 11 04:00 UTC

Hashing Sketch Proposed as Cheaper Alternative to Protein Language Models

A new arXiv paper examines when inexpensive hashing-based embeddings can match pre-trained protein language models like ESM-2 on biological sequence classification. The authors argue that PLMs are costly to embed and fine-tune because they need GPUs, and offer a theoretically grounded hashing approach as a lighter substitute. The work is a revised preprint and is not yet peer-reviewed.

protein-language-models/embeddings/research/efficiency