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Found 3 papers, 2 papers with code
Zero-Shot Fact Verification via Natural Logic and Large Language Models
To comprehensively assess the zero-shot capabilities of our method and other fact verification systems, we evaluate all models on both artificial and real-world claims, including multilingual datasets.
QA-NatVer: Question Answering for Natural Logic-based Fact Verification
Fact verification systems assess a claim's veracity based on evidence.
Discrete Acoustic Space for an Efficient Sampling in Neural Text-To-Speech
We present a Split Vector Quantized Variational Autoencoder (SVQ-VAE) architecture using a split vector quantizer for NTTS, as an enhancement to the well-known Variational Autoencoder (VAE) and Vector Quantized Variational Autoencoder (VQ-VAE) architectures.
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