Shannon mutual information
PulseAugur coverage of Shannon mutual information — every cluster mentioning Shannon mutual information across labs, papers, and developer communities, ranked by signal.
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Conformal Prediction Theory Links Uncertainty Quantification to Information Gain
Researchers have developed a theoretical framework to connect conformal prediction, a method for quantifying uncertainty, with information theory. The study introduces generalized information measures derived from the s…
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New framework uses information theory to properly value AI datasets
Researchers have developed a new information-theoretic framework to properly evaluate dataset curation methods in AI. This approach uses the Blackwell ordering of informativeness and Shannon mutual information to measur…
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New Geometric Information Flow framework enhances LLM security
Researchers have introduced Geometric Information Flow (GIF), a new framework designed to control information flow in Large Language Models (LLMs) and mitigate security and privacy risks. GIF utilizes the LLM Jacobian a…