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Pattern-CoT

Usage

  1. Get zero-shot answers
python run_inference.py \
	--method zero_shot_cot \
	--dataset aqua \
	--model_name llama \
	--model_size 7b \
	--model_path PATH_TO_MODEL \
	--max_length_cot 256 2>&1 >log/aqua.log
  1. Select pattern aware demos
python run_demos.py \
	--task aqua \
	--pred_file log/aqua.log \
	--demo_save_dir demos/aqua \
	--encoder PATH_TO_ENCODER
  1. Enhance the CoT process
python run_inference.py \
	--method pattern_cot \
	--dataset aqua \
	--demo_path demos/aqua \
	--model_name llama \
	--model_size 7b \
	--model_path PATH_TO_MODEL \
	--max_length_cot 4096