Learning the Wrong Lessons: Syntactic-Domain Spurious Correlations in Language Models
domainentity knowledge tasksevaluation frameworkflanv2 datasetgpt-4ollama-4-maverickllmllm securityolmo-2 modelspart-of-speech tagssemanticsspurious correlationssyntactic diversitysyntactic templatestraining dataset
For an LLM to correctly respond to an instruction it must understand both the semantics and the domain (i.e., subject area) of a given task-instruction pair. However, syntax can also convey implicit information. Recent work shows that \textit{syntactic templates}