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 ## Code for paper "G-Eval: NLG Evaluation using GPT-4 with Better Human Alignment" [https://arxiv.org/abs/2303.16634]
 
+## Model Evaluations
+
+Score prediction via gemini_eval.py, llama3_eval.py, qwen_eval.py
+
 ## Experiments on SummEval dataset
 
 Full dataset used by G-Eval paper  
@@ -15,7 +19,7 @@ Sample dataset used for CoT analysis
 ## Prompts and Evaluation Results
 
 Prompts used to evaluate SummEval with GPT-4 & base and detailed prompts for CoT analysis are in prompts/summeval (by G-Eval paper)
-Auto-CoT prompts are in prompts/cot_analysis
+Auto-CoT prompts are in prompts/cot_analysis (created via auto_cot.py)
 
 GPT-4 G-eval results on SummEval are in results (by G-Eval paper)  
 Other models results are in their respective folder
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diff --git a/requirements.txt b/requirements.txt
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+groq==0.20.0
+openai==1.69.0
+prettytable==3.16.0
+protobuf==6.30.2
+scipy==1.15.2
+tqdm==4.67.1