Tag: summaries
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Minimum Distance Summaries for Robust Neural Posterior Estimation
Minimum Distance Summaries for Robust Neural Posterior Estimation arXiv:2602.09161v1 Announce Type: new Abstract: Simulation-based inference (SBI) enables amortized Bayesian inference by first training a neural posterior estimator (NPE) on prior-simulator pairs, typically through low-dimensional summary statistics, which can then be cheaply reused for fast inference by querying it on new test observations. Because NPE is…
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How to Evaluate LLM Summarization
How to Evaluate LLM Summarization A practical and effective guide for evaluating AI summaries Image from Unsplash Summarization is one of the most practical and convenient tasks enabled by LLMs. However, compared to other LLM tasks like question-asking or classification, evaluating LLMs on summarization is far more challenging. And so I myself have neglected evals for…