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@@ -112,7 +112,9 @@ My view on LLM Evaluation: [Deck](LLMEvaluation.pdf), and  [video Analytics Vidh
 - Benchmarking Foundation Models with Language-Model-as-an-Examiner, 2022, [NEURIPS](https://proceedings.neurips.cc/paper_files/paper/2023/hash/f64e55d03e2fe61aa4114e49cb654acb-Abstract-Datasets_and_Benchmarks.html)
 - ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate, Aug 2023, [arxiv](https://arxiv.org/abs/2308.07201)
 - ALLURE: Auditing and Improving LLM-based Evaluation of Text using Iterative In-Context-Learning, Sep 2023, [arxiv](https://arxiv.org/abs/2309.13701)
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+- Style Over Substance: Evaluation Biases for Large Language Models, Jul 2023, [arxiv](https://arxiv.org/abs/2307.03025)
+- Large Language Models Are State-of-the-Art Evaluators of Translation Quality, Feb 2023, [arxiv](https://arxiv.org/abs/2302.14520)
+- Large Language Models Are State-of-the-Art Evaluators of Code Generation, Apr 2023, [researchgate](https://www.researchgate.net/publication/370338371_Large_Language_Models_Are_State-of-the-Art_Evaluators_of_Code_Generation)
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 ## LLM Evaluation