arxiv
PublishedSeptember 21, 2026 at 4:00 AM
—neutral
One Prompt Does Not Fit All: Self-Meta-Evolve for Personalized Information Extraction
Publisher summary· verbatim
arXiv:2609.21626v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly deployed for enterprise information extraction (IE), where the same document must be reorganized differently for each user. Existing prompt optimization methods, however, rely on a single prompt optimized a
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivLoRA Enhanced Contrastive Learning with SAS Vision Transformers8harxivHallucination-R1: Robustness-Oriented Paraphrase Generation for Factual Consistency8harxivTatBLiMP: A Benchmark of Linguistic Minimal Pairs for Tatar8harxivRuntime Authorization for Resources Acquired by AI Agents8hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗