The Curse of Helpfulness: Inverse Scaling Law in Robustness to Distractor Instructions via DistractionIF

ArXi:2605.29491v1 Announce Type: new Large Language Models (LLMs) are increasingly deployed in agentic and retrieval-augmented generation (RAG) systems, where they must execute user-specified tasks over externally provided reference text. In practice, such context is often unstructured and contaminated with benign but instruction-like semantic noise, such as editorial comments and system traces, which should be treated strictly as data. We