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• AnySimLite: A Lightweight Few-Shot Similarity Encoder for On-Device Speech-Adjacent Classification

  Modern smartphones quietly run a surprising number of machine learning models. Voice assistants classify what you meant, messaging apps flag spam, keyboards sense sentiment, and organizer apps deduplicate entries.

• K-Merge: Online Continual Merging of Adapters for On-device Large Language Models

  Large Language Models (LLMs) have revolutionized natural language processing, offering unprecedented capabilities.

• Resolving Privacy-Personalization Paradox

  The advent of technical breakthroughs in communication, the Internet followed by increasing digitisation and proliferation of personal devices such as mobiles, smart appliances, etc. have made it possible to connect and digitize many human activities. This empowered the industries to collect large data of their users with consent, which is used for offering personalised services and products to enhance customer experience.

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