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moz.com › learn › seo › crawl-site-audit
Crawling & Site Audits | SEO Resources For All Skill Levels - Moz
Learn about search engine crawling, indexation, and how to audit the discoverability and ranking power of content.
arxiv.org arXiv
arxiv.org › abs › 2404.06472v1
High-skilled Human Workers in Non-Routine Jobs are Susceptible to AI Automation but Wage Benefits Differ between Occupations
Artificial Intelligence (AI) will change human work by taking over specific job tasks, but there is a debate which tasks are susceptible to automation, and whether AI will augment or replace workers a...
arxiv.org arXiv
arxiv.org › abs › 1612.01734v3
Do we really need to catch them all? A new User-guided Social Media Crawling method
With the growing use of popular social media services like Facebook and Twitter it is challenging to collect all content from the networks without access to the core infrastructure or paying for it. T...
arxiv.org arXiv
arxiv.org › abs › 2405.15019v2
Agentic Skill Discovery
Language-conditioned robotic skills make it possible to apply the high-level reasoning of Large Language Models (LLMs) to low-level robotic control. A remaining challenge is to acquire a diverse set o...
arxiv.org arXiv
arxiv.org › abs › 2309.17203v3
ComSD: Balancing Behavioral Quality and Diversity in Unsupervised Skill Discovery
This work has been submitted to the IEEE for possible publication. Copyright may be transferred without notice, after which this version may no longer be accessible. Unsupervised skill discovery seeks...
arxiv.org arXiv
arxiv.org › abs › 2505.16286v2
Microwave Engineering of Tunable Spin Interactions with Superconducting Qubits
Quantum simulation has emerged as a powerful framework for investigating complex many - body phenomena. A key requirement for emulating these dynamics is the realization of fully controllable quantum ...
arxiv.org arXiv
arxiv.org › abs › 2506.03525v2
Video-Skill-CoT: Skill-based Chain-of-Thoughts for Domain-Adaptive Video Reasoning
Recent advances in Chain-of-Thought (CoT) reasoning have improved complex video understanding, but existing methods often struggle to adapt to domain-specific skills (e.g., event detection, spatial re...
arxiv.org arXiv
arxiv.org › abs › 2504.16738v2
MOSAIC: A Skill-Centric Algorithmic Framework for Long-Horizon Manipulation Planning
Planning long-horizon manipulation motions using a set of predefined skills is a central challenge in robotics; solving it efficiently could enable general-purpose robots to tackle novel tasks by flex...
arxiv.org arXiv
arxiv.org › abs › 2009.12417v2
An Analysis of the Impact of SEO on University Website Ranking
Today, ranking systems in universities have been considered by the academic community, and there is a tight competition between world universities to achieve higher ranks. In the meantime, the ranking...
arxiv.org arXiv
arxiv.org › abs › 2410.13826v2
Unearthing Skill-Level Insights for Understanding Trade-Offs of Foundation Models
With models getting stronger, evaluations have grown more complex, testing multiple skills in one benchmark and even in the same instance at once. However, skill-wise performance is obscured when insp...
arxiv.org arXiv
arxiv.org › abs › 2108.05382v1
Skill Preferences: Learning to Extract and Execute Robotic Skills from Human Feedback
A promising approach to solving challenging long-horizon tasks has been to extract behavior priors (skills) by fitting generative models to large offline datasets of demonstrations. However, such gene...