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Notes on large reasoning models
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EchoCoT: Extracting Hidden Chain-of-Thought from Large Reasoning Models
Researchers developed EchoCoT, a method that extracts hidden chain-of-thought (CoT) traces from large reasoning models (LRMs), which are valuable but often inaccessible assets. They found that EchoCoT can successfully…
Retrieval-of-Thought: Efficient Reasoning via Reusing Thoughts
The paper proposes Retrieval-of-Thought (RoT), a method that reuses prior reasoning as 'thought' steps to solve new problems efficiently. This approach reduces the need for long reasoning traces, which inflate latency…
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