eagle0504/multireward-grpo-gsm8k-rewards-qwen2.5-7b

Multi-Reward GRPO — GSM8K Rewards (Qwen2.5-7B-Instruct) Raw rollout-level reward observations from the empirical Section of "Conditioned Multi-Reward Advantage Estimation: A Finite-Sample Analysis". This is the data that produced the headline Theorem 3 (correlation-dependent MSE floor) and Proposition 4 (sign-changing conditioning bias) figures on real LLM rollouts. Each rollout was sampled from Qwen/Qwen2.5-7B-Instruct on GSM8K test prompts at temperature 0.7.… See the full description on the dataset page: https://huggingface.co/datasets/eagle0504/multireward-grpo-gsm8k-rewards-qwen2.5-7b.