Fine-tuned LLMs produce critiques that improve human detection of errors in summaries, with larger models showing better self-critique and refinement capabilities.
26 A.3 Base tasks Early in the project, we asked labelers to create question-answering and summarization tasks
1 Pith paper cite this work. Polarity classification is still indexing.
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Self-critiquing models for assisting human evaluators
Fine-tuned LLMs produce critiques that improve human detection of errors in summaries, with larger models showing better self-critique and refinement capabilities.