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cs.CL2024
ReIFE: Re-evaluating Instruction-Following Evaluation
Yixin Liu, Kejian Shi, Alexander R. Fabbri +5
The automatic evaluation of instruction following typically involves using large language models (LLMs) to assess response quality. However, there is a lack of comprehensive evalua…
cs.CL2024★ 1 cited
Direct Judgement Preference Optimization
Peifeng Wang, Austin Xu, Yilun Zhou +2
Auto-evaluation is crucial for assessing response quality and offering feedback for model development. Recent studies have explored training large language models (LLMs) as generat…