We introduce PaCoRe (Parallel Coordinated Reasoning), a framework that shifts the driver of inference from sequential depth to coordinated parallel breadth, breaking the model context limitation and ...

Introduction: Inductive reasoning develops from similarity-based to category-based processes, and linguistic labels are thought to facilitate this shift, though whether they provide similarity or ...

Here’s a secret most high scorers already know: practice tests aren’t just about drilling questions. In fact, ACT research shows that students who regularly use ACT practice questions and prep tools ...

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A new study from Arizona State University researchers suggests that the celebrated "Chain-of-Thought" (CoT) reasoning in Large Language Models (LLMs) may be more of a "brittle mirage" than genuine ...

The SRF1209U4 series of common-mode chip inductors developed by Bourns Inc. is designed for noise suppression in signal transmission-line applications. They feature a low-profile, compact footprint ...

Life is full of logical arguments. Lawyers love to pick apart arguments to see how they work, the way engineers deconstruct machines and football coaches analyze plays. Logical arguments are ...

Abstract: Inductive relation prediction aims to predict missing connections between entities unseen during training. Recent approaches adopt binary (positive or negative) training labels, which ...

ABSTRACT: The paper explores how integrating alternative fuels and renewable energy technologies—like solar, wind, and geothermal—into the UK’s sustainable design can promote sustainable design in the ...

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The more accurate we try to make AI models, the bigger their carbon footprint — with some prompts producing up to 50 times more carbon dioxide emissions than others, a new study has revealed.

Large reasoning models, often powered by large language models, are increasingly used to solve high-level problems in mathematics, scientific analysis, and code generation. The central idea is to ...