The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason
Paper • 2505.22653 • Published • 43
How to use AngLv/NoisyRewards-in-RL-RM-acc-65 with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("text-classification", model="AngLv/NoisyRewards-in-RL-RM-acc-65") # Load model directly
from transformers import AutoTokenizer, AutoModelForSequenceClassification
tokenizer = AutoTokenizer.from_pretrained("AngLv/NoisyRewards-in-RL-RM-acc-65")
model = AutoModelForSequenceClassification.from_pretrained("AngLv/NoisyRewards-in-RL-RM-acc-65")The repository contains the following file information:
The model was presented in the paper The Climb Carves Wisdom Deeper Than the Summit: On the Noisy Rewards in Learning to Reason.
Github code: https://github.com/trestad/Noisy-Rewards-in-Learning-to-Reason