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moz.com
moz.com › help › ai-visibility
Help Guide for the AI Visibility tool in Moz Pro - Help Hub
Learn how to set up your dashboard and start tracking your LLM footprint in Moz Pro with the AI Visibility tool.
en.wikipedia.org Wikipedia
en.wikipedia.org › wiki › Google%2B
Google+ - Wikipedia
"Google Announces the End of Author Photos in Search: What You Should Know". MOZ. June 26, 2014. "Google will not show authorship in search results". August
arxiv.org arXiv
arxiv.org › abs › 1508.06444v1
HELP : The Herschel Extragalactic Legacy Project & The Coming of Age of Multi-Wavelength Astrophysics
How did galaxies form and evolve? This is one of the most challenging questions in astronomy today. Answering it requires a careful combination of observational and theoretical work to reliably determ...
arxiv.org arXiv
arxiv.org › abs › 1904.12498v1
HELP project - a dreamed-of multiwavelength dataset for SED fitting: the influence of used models for the main physical properties of galaxies
The Herschel Extragalactic Legacy Project (HELP) focuses to publish an astronomical multiwavelength catalogue of millions of objects over 1300~deg$^2$ of the Herschel Space Observatory survey fields. ...
arxiv.org arXiv
arxiv.org › abs › 2202.00069v2
"How trustworthy is this research?" Designing a Tool to Help Readers Understand Evidence and Uncertainty in Science Journalism
This article reports on a Research through Design study exploring how to design a tool for helping readers of science journalism understand the strength and uncertainty of scientific evidence in news ...
arxiv.org arXiv
arxiv.org › abs › 2111.01762v1
AIRCC-Clim: a user-friendly tool for generating regional probabilistic climate change scenarios and risk measures
Complex physical models are the most advanced tools available for producing realistic simulations of the climate system. However, such levels of realism imply high computational cost and restrictions ...
arxiv.org arXiv
arxiv.org › abs › 2502.00265v3
RADx Data Hub: A Cloud Platform for FAIR, Harmonized COVID-19 Data
The COVID-19 pandemic highlighted the urgent need for robust systems to enable rapid data collection, integration, and analysis for public health responses. Existing approaches often relied on dispara...
arxiv.org arXiv
arxiv.org › abs › 2501.02842v1
Foundations of GenIR
The chapter discusses the foundational impact of modern generative AI models on information access (IA) systems. In contrast to traditional AI, the large-scale training and superior data modeling of g...
arxiv.org arXiv
arxiv.org › abs › 2601.16513v1
Competing Visions of Ethical AI: A Case Study of OpenAI
Introduction. AI Ethics is framed distinctly across actors and stakeholder groups. We report results from a case study of OpenAI analysing ethical AI discourse. Method. Research addressed: How has Ope...
arxiv.org arXiv
arxiv.org › abs › 2601.13749v1
Pro-AI Bias in Large Language Models
Large language models (LLMs) are increasingly employed for decision-support across multiple domains. We investigate whether these models display a systematic preferential bias in favor of artificial i...
arxiv.org arXiv
arxiv.org › abs › 2504.16770v1
DeBiasMe: De-biasing Human-AI Interactions with Metacognitive AIED (AI in Education) Interventions
While generative artificial intelligence (Gen AI) increasingly transforms academic environments, a critical gap exists in understanding and mitigating human biases in AI interactions, such as anchorin...
arxiv.org arXiv
arxiv.org › abs › 2507.16110v1
Expert-Guided LLM Reasoning for Battery Discovery: From AI-Driven Hypothesis to Synthesis and Characterization
Large language models (LLMs) leverage chain-of-thought (CoT) techniques to tackle complex problems, representing a transformative breakthrough in artificial intelligence (AI). However, their reasoning...