Meta AI推出CoT-Verifier模型，通過分析鏈式思維每一步的“電路軌跡”來定位推理錯誤。與傳統僅驗證輸出的方法不同，該模型先進行前向推理，再提取歸因圖，發現正確與錯誤推理的圖結構差異顯著。團隊利用輕量級分類器實現高效驗證，已在Hugging Face發佈。
Meta AI實驗室推出基於Llama3.18B的CoT-Verifier模型，通過TopK轉碼器機制實現白盒驗證，幫助開發者精準定位和修正AI鏈式思維推理中的錯誤環節，突破傳統驗證方法的侷限。
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