A two-stage recipe — camelid-sequence continual pretraining plus DPO-style preference fine-tuning with weak positive pairs — improves antibody expression ranking over supervised baselines on an internal 1254-sequence benchmark.
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Preference-based Antibody Expression Ranking: Scaling with Large-scale Weak Supervision
A two-stage recipe — camelid-sequence continual pretraining plus DPO-style preference fine-tuning with weak positive pairs — improves antibody expression ranking over supervised baselines on an internal 1254-sequence benchmark.