2 papers
cs.LG2025
Self Distillation Fine-Tuning of Protein Language Models Improves Versatility in Protein Design
Amin Tavakoli, Raswanth Murugan, Ozan Gokdemir +3
Supervised fine-tuning (SFT) is a standard approach for adapting large language models to specialized domains, yet its application to protein sequence modeling and protein language…
q-bio.BM2025
CARE: a Benchmark Suite for the Classification and Retrieval of Enzymes
Jason Yang, Ariane Mora, Shengchao Liu +4
Enzymes are important proteins that catalyze chemical reactions. In recent years, machine learning methods have emerged to predict enzyme function from sequence; however, there are…