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Analysis of Chain of Thought in LLM-Scoring
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lkim
Analysis of Chain of Thought in LLM-Scoring
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f68009a2
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lkim
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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
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@@ -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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groq
==0.20.0
openai
==1.69.0
prettytable
==3.16.0
protobuf
==6.30.2
scipy
==1.15.2
tqdm
==4.67.1
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