Hi,
Thank you for sharing your excellent work and making the code publicly available.
I am currently working on reproducing the task negation experiments, and I've been looking closely at the eval_task_negation.py script. I noticed that in the main loop, when calling the find_optimal_coef function, the script uses a parameter args.control_threshold.
However, when I checked the argument parser in args.py, I couldn't find where control_threshold is defined.
I was wondering if you could clarify the intended value for this control_threshold parameter. Was it set to a specific default (e.g., 0.9, 0.95) for the experiments?
Hi,
Thank you for sharing your excellent work and making the code publicly available.
I am currently working on reproducing the task negation experiments, and I've been looking closely at the eval_task_negation.py script. I noticed that in the main loop, when calling the find_optimal_coef function, the script uses a parameter args.control_threshold.
However, when I checked the argument parser in args.py, I couldn't find where control_threshold is defined.
I was wondering if you could clarify the intended value for this control_threshold parameter. Was it set to a specific default (e.g., 0.9, 0.95) for the experiments?