Spurious Rewards: Rethinking Training Signals in RLVR — interactive visual explainer | Rudrite Research A new interactive visual explainer from Rudrite Research breaks down the concept of spurious rewards in reinforcement learning from verifiable rewards (RLVR), showing that even random or incorrect reward signals can improve math accuracy on Qwen models. The explainer, based on Shao et al.'s 2025 arXiv paper, provides animated exhibits computed from real formulas and verbatim quotes. Spurious Rewards: Rethinking Training Signals in RLVR On Qwen, even random or wrong RLVR rewards lift math accuracy — what the signal really does. Shao et al. · arXiv 2025 · Reasoning & RL. Read the paper ↗ https://arxiv.org/abs/2506.10947 A free, interactive, animated visual explainer of Spurious Rewards: Rethinking Training Signals in RLVR — every exhibit computed from the real formulas, with verbatim quotes from the source. Questions - What is Spurious Rewards: Rethinking Training Signals in RLVR? - On Qwen, even random or wrong RLVR rewards lift math accuracy — what the signal really does. - Who published Spurious Rewards: Rethinking Training Signals in RLVR, and where? - Shao et al. — arXiv 2025 arXiv:2506.10947 . - Where can I find a visual explainer of Spurious Rewards: Rethinking Training Signals in RLVR? - Right here — a free, interactive, animated walkthrough of the whole paper, with exhibits computed from the real formulas and verbatim quotes from the source. Related explainers DeepSeek-R1 /deepseek-r1 Chain-of-Thought Prompting Elicits Reasoning in Large Language Models /chain-of-thought Training language models to follow instructions with human feedback /instructgpt Direct Preference Optimization: Your Language Model is Secretly a Reward Model /dpo DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models /deepseekmath Scaling LLM Test-Time Compute Optimally can be More Effective than Scaling Model Parameters /test-time-compute Constitutional AI: Harmlessness from AI Feedback /constitutional-ai DAPO: An Open-Source LLM Reinforcement Learning System at Scale /dapo