Sparrow 論文：用「規則條件獎勵模型」訓練可信賴對話 Agent
CI/CD 流水線又紅了。你切回日誌，發現模型自信地編造了一個不存在的 API endpoint。DeepMind 的 Sparrow 論文提出 RCRM 架構，透過規則條件獎勵模型與證據鏈，讓模型在生成時自動驗證來源。這不是讓模型變聰明，而是讓它學會如何證明答案是對的。
Google DeepMind
Sparrow Paper: Training Trustworthy Dialogue Agents with Rule-Conditional Reward Models
The CI/CD pipeline is red again. You switch back to the logs and find the model confidently inventing an API endpoint that does not exist. DeepMind’s Sparrow paper proposes an RCRM architecture that uses rule-conditional reward models and evidence chains to let the model automatically verify sources while generating. This is not about making the model smarter. It is about teaching it how to prove that its answer is correct.