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Large language model (LLM) agents repeatedly load reusable content, such as skills, documents, and memory entries, into the current context. Re-encoding this content for every request wastes computation. Position-independent caching (PIC) alleviates this by encoding each artifact independently and reusing its key-value...
C3, credit assignment by counterfactual continuation, substitutes one message at a decision point and continues the run to the terminal reward, so its credit is unbiased, exact up to Monte Carlo error.
Action shaping gains the counterpart of the shaping theorem, a condition for absorption, together with the mechanism behind it and a diagnostic that reads it, together with the mechanism behind it and a diagnostic that reads it.
This paper aims to present a comprehensive overview of this emerging paradigm and establish a systematic taxonomy of latent CoT methods, categorizing them from token-wise horizontal approaches to layer-wise vertical strategies.
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