Skip to content
Log in
Sponsored AI Networking Cookbook: Practical recipes for AI-assisted network automation and development AI Networking Cookbook: Practical recipes for AI-assisted network automation and development

Author

Andrew Yates

h-index 5 View on Semantic Scholar

We have 3 of 20 papers

We haven’t gathered this author’s papers yet. Follow them and we’ll fetch their work.

Not the right person? Other researchers publish under this name.

Preprint Sep 2026

MultiVENT-Raw: A Benchmark for Retrieval and Reasoning over Raw Videos

Online information is increasingly consumed in video format. Much of this comes in the form of *raw video*: continuous footage taken on a cell phone, with a hand-held camera, or via CCTV, which is then directly uploaded to social media platforms and content sharing services. Whereas professional or even amateur-edited...

Reno Kriz, David Etter, Alexander Martin et al. · 0 citations
#artificial intelligence Preprint Sep 2026

LAYERSCOPE: A Layerwise Characterization of Video and Multimodal Learned Representations

We propose LAYERSCOPE, a label-free, layerwise framework that aims to characterize a model's learned representations in video and multimodal settings. Evaluating downstream performance using representations from final or intermediate layers typically requires large amounts of labeled data, repeated task-specific evalua...

Sandra Arcos-Holzinger, Debashish Chakraborty, Rohita Mocharla et al. · 0 citations
Book Open access Jul 2026

Clustering-Based Methods for Vector-Based Pseudo-Relevance Feedback

This work aims to explore how well vector-based pseudo relevance feedback can adapt to dense retrieval models when it is not feasible to use surface-form information to pick discriminating expansion tokens.

X. Velez, Andrew Yates, Eugene Yang et al. · 0 citations

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.