The model learns that hedging is a signal of lower-quality output. This creates a systematic bias toward sounding certain.

Abstract: Spectrum inference, also known as spectrum prediction in the literature, is a promising technique of inferring the occupied/free state of radio spectrum from already known/measured spectrum ...

Abstract: This tutorial introduces a new cuisine to the simulationist kitchen: plausible inference, the culinary art of output analysis that concocts statistical inferences about possibly unsimulated ...

This title is part of a longer publication history. The full run of this journal will be searched. TITLE HISTORY A title history is the publication history of a journal and includes a listing of the ...

Large Language Models (LLMs) deliver impressive capabilities but at a steep resource cost. In production, latency spikes, throughput bottlenecks, or unchecked token usage can erode user trust and ...

AI optimization startup Neural Magic created software that makes it possible for AI inference models to run efficiently on commodity CPU-based hardware. Jan. 13, 2025 update: Red Hat announced it has ...

The Bayesian approach to statistical inference and other data analysis tasks gets its name from Bayes’s theorem (BT). BT specifies that a posterior probability for a hypothesis concerning a data ...

Simple dynamic modeling tools can help generate real-time short-term forecasts with quantified uncertainty of the trajectory of diverse growth processes unfolding in nature and society, including ...