arxiv
PublishedJune 26, 2026 at 4:00 AM
AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification
Publisher summary· verbatim
arXiv:2606.26452v1 Announce Type: new Abstract: To minimize privacy concerns and inference latency on edge devices like smartphones, lightweight on-device models remain important for end-user applications. Many of these applications involve natural language classification, but deploying multiple spe
Stay posted· Newsletter
A 5-min weekly brief — top movers, price watch, story of the week.
Discussion
No replies yet. Be first.
Related coverage
More from ARXIV
arxivMMGist: A Comprehensive Multimodal Benchmark for 20272harxivVisualizing "We the People": Bridging the Perception Gap through Pluralistic Data Storytelling2harxivSmall edits, large models: How Wikipedia advocacy shapes LLM values2harxivNoise-Aware Boundary-Enhanced Generative Learning for Ultrasound Speckle Reduction2hThe Bubble Brief
WEEKLYRead AI insights every Tuesday — top movers, new releases, story of the week.
Originally published on arxiv ↗