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Found 6 papers, 4 papers with code
Collaborative Data Relabeling for Robust and Diverse Voice Apps Recommendation in Intelligent Personal Assistants
In this paper, we introduce a fallback skill recommendation system to suggest a voice app to a customer for an unhandled voice command.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
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MEND: Meta dEmonstratioN Distillation for Efficient and Effective In-Context Learning
Large Language models (LLMs) have demonstrated impressive in-context learning (ICL) capabilities, where a LLM makes predictions for a given test input together with a few input-output pairs (demonstrations).
Distilled One-Shot Federated Learning
DOSFL serves as an inexpensive method to quickly converge on a performant pre-trained model with less than 0. 1% communication cost of traditional methods.
Asking Complex Questions with Multi-hop Answer-focused Reasoning
Asking questions from natural language text has attracted increasing attention recently, and several schemes have been proposed with promising results by asking the right question words and copy relevant words from the input to the question.
A Batch Normalized Inference Network Keeps the KL Vanishing Away
Variational Autoencoder (VAE) is widely used as a generative model to approximate a model's posterior on latent variables by combining the amortized variational inference and deep neural networks.
Improving Question Generation with Sentence-level Semantic Matching and Answer Position Inferring
Taking an answer and its context as input, sequence-to-sequence models have made considerable progress on question generation.
