Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks 事件

Testing LLM Arithmetic Reasoning Generalization with Automatic Numeric-Remapping Attacks arXiv:2606.03606v1 Announce Type: cross Abstract: Large language models achieve strong performance on arithmetic reasoning benchmarks, and one common response to arithmetic brittleness is to delegate computation to code. Yet models are still often used in settings where they must reason directly from natural language, and trustworthy models should solve small-number arithmetic word problems without external