Coarse composition suffices: tabular in-context learning for multi-activity antimicrobial peptide profiling

arXiv:2608.30337 · cs.LG, q-bio.BM · Submitted 2026-08-31 · Read on arXiv

cs.LG, q-bio.BM

Submitted: 2026-08-31

Updated: 2026-09-06

Terminology

• Benchmark — 29× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Ablation — 6× in this paper · explained in 1 episode
• Accuracy — 5× in this paper · explained in 1 episode
• Foundation Model — 4× in this paper · explained in 3 episodes
• In-Context Learning — 3× in this paper · explained in 4 episodes
• Feature Extraction — 2× in this paper · explained in 2 episodes
• Alignment — 1× in this paper · explained in 1 episode
• Benchmarking — 1× in this paper · explained in 3 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Expanded Standardized Collection for Antimicrobial Peptide Evaluation — 1× in this paper
• Foundation Models — 1× in this paper · explained in 7 episodes
• GNNs — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• In International Conference on Learning Representations — 1× in this paper
• Provenance — 1× in this paper · explained in 3 episodes
• Redundancy — 1× in this paper · explained in 2 episodes
• Transformer Architecture — 1× in this paper · explained in 2 episodes

Sources

• A Standardized Benchmark for Multilabel Antimicrobial Peptide Classification

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