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Understanding Shannon's Entropy metric for Information

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arxiv 1405.2061 v1 pith:J4E5MKIB submitted 2014-03-24 cs.IT math.IT

Understanding Shannon's Entropy metric for Information

classification cs.IT math.IT
keywords informationentropymetricshannonunderstandingarticleconceptfoundational
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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Shannon's metric of "Entropy" of information is a foundational concept of information theory. This article is a primer for novices that presents an intuitive way of understanding, remembering, and/or reconstructing Shannon's Entropy metric for information.

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  1. Cross-Attention Calibrated Deduplication for Retrieval-Augmented Generation System

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    CACD deduplicates RAG chunks via cross-encoder scores, attention-entropy NIS, and majority vote, dropping ~9.75% of chunks on SQuAD faster than cosine filtering.