Donkii: Can Annotation Error Detection Methods Find Errors in Instruction-Tuning Datasets?

arXiv:2309.01669v2 Announce Type: replace
Abstract: Instruction tuning has become an integral part of training pipelines for Large Language Models (LLMs) and has been shown to yield strong performance gains. In an orthogonal line of research, Annotation Error Detection (AED) has emerged as a tool for detecting quality problems in gold standard labels. So far, however, the application of AED methods has been limited to classification tasks. It is an open question how well AED methods generalize to language generation settings, …

abstract annotation arxiv become cs.cl datasets detection detection methods error errors integral language language models large language large language models line llms part performance pipelines quality research tool training type