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cs.LG2026
The Magic Correlations: Understanding Knowledge Transfer from Pretraining to Supervised Fine-Tuning
Simin Fan, Dimitris Paparas, Natasha Noy +3
Understanding how language model capabilities transfer from pretraining to supervised fine-tuning (SFT) is fundamental to efficient model development and data curation. In this wor…
cs.LG2025★ 1 cited
Assay2Mol: large language model-based drug design using BioAssay context
Yifan Deng, Spencer S. Ericksen, Anthony Gitter
Scientific databases aggregate vast amounts of quantitative data alongside descriptive text. In biochemistry, molecule screening assays evaluate candidate molecules' functional res…