Learning to Learn from Context: Synthetic Training from Perturbed Public Documents.

arXiv:2609.33642v1 Announce Type: cross Abstract: Real-world tasks often require large language models (LLMs) to learn from complex task-specific context rather than pretrained parametric knowledge. This capability remains a weakness of LLMs, while human annot