arxiv
PublishedOctober 19, 2026 at 4:00 AM
Prompt Codebooks: Discrete Compositional Optimization for Language Model Instruction Refinement
Publisher summary· verbatim
arXiv:2605.28360v3 Announce Type: replace Abstract: Automatic prompt optimization (APO) has driven significant gains in LLM-based agentic workflows. However, most existing methods treat each task's prompt as a monolithic, instance-blind string optimized through global edits, producing brittle update
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Originally published on arxiv ↗