Answer matching with recent language models aligns with human grading at near-inter-annotator levels, substantially outperforming multiple-choice evaluation and LLM-as-judge without reference answers.
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Answer Matching Outperforms Multiple Choice for Language Model Evaluation
Answer matching with recent language models aligns with human grading at near-inter-annotator levels, substantially outperforming multiple-choice evaluation and LLM-as-judge without reference answers.