Automatic evaluation tools for literary translations correlate poorly with expert human judgments on creativity and exhibit bias favoring machine-translated texts.
INSTRUCTSCORE : Towards Explainable Text Generation Evaluation with Automatic Feedback
5 Pith papers cite this work, alongside 37 external citations. Polarity classification is still indexing.
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DiagEval applies trajectory-conditioned diagnostic probes to recover 45.6-62.1% of misattributed failures in GUI-agent software evaluation, raising accuracy from 69.9% to 78.3% on WebDevJudge-Unit and 65.0% to 81.6% on RealDevBench.
A survey on LLM-as-a-Judge that reviews reliability strategies, proposes evaluation methods, and introduces a novel benchmark for assessing such systems.
Correlation analysis of four RAG metric libraries against human evaluations on 96 questions shows RAGChecker metrics correlate strongly with human scores, while generation-as-overall metrics correlate weakly, but single-system confounding limits interpretability.
A comprehensive survey of knowledge distillation for LLMs structured around algorithms, skill enhancement, and vertical applications, highlighting data augmentation as a key enabler.
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A Survey on LLM-as-a-Judge
A survey on LLM-as-a-Judge that reviews reliability strategies, proposes evaluation methods, and introduces a novel benchmark for assessing such systems.