From Simple Rules to Smart Exploration: Intelligent Go-Explore IGE Bridges the Gap with Foundation Models in Autonomous Systems
Read moreUnveiling Chain-of-Thought Reasoning: Exploring Iterative Algorithms in Language Models
Read moreIn practice, training using federated learning can be orders of magnitude slower than standard centralized training. This severely limits the...
Read moreHuman evaluation is a critical component in machine translation system development and has received much attention in text translation research....
Read moreVoice assistants increasingly use on-device Automatic Speech Recognition (ASR) to ensure speed and privacy. However, due to resource constraints on...
Read moreLarge Language Models (LLMs) have demonstrated impressive capability in different tasks and are bringing transformative changes to many domains. However,...
Read moreOn-device Virtual Assistants powered by Automated Speech Recognition (ASR) require effective knowledge integration for the challenging entity-rich query recognition. In...
Read moreMessage-Passing Monte Carlo (MPMC): A New State-of-the-Art Machine Learning Model that Generates Low-Discrepancy Points
Read more*Equal Contributors Parameter-efficient fine-tuning (PEFT) for personalizing automatic speech recognition (ASR) has recently shown promise for adapting general population models...
Read moreThis paper was accepted in the Industry Track at SIGIR 2024. Virtual Assistants (VAs) are important Information Retrieval platforms that...
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