ENTITY
Shao
Shao
PulseAugur coverage of Shao — every cluster mentioning Shao across labs, papers, and developer communities, ranked by signal.
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RECENT · PAGE 1/1 · 2 TOTAL
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Random rewards boost LLM math accuracy, but gains are model-dependent
A recent paper by Shao et al. demonstrates that training language models with randomly assigned rewards can yield significant performance gains, particularly on math-related tasks. When applied to Qwen2.5-Math-7B using …
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GRPO algorithm variant clarifies its role in RL fine-tuning
The GRPO algorithm, introduced by Shao and colleagues, is a variant of Proximal Policy Optimization (PPO) that modifies the training process by removing the critic network, which is computationally expensive. Instead of…