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Found 4 papers, 3 papers with code
HaluEval-Wild: Evaluating Hallucinations of Language Models in the Wild
Hallucinations pose a significant challenge to the reliability of large language models (LLMs) in critical domains.
GSCLIP : A Framework for Explaining Distribution Shifts in Natural Language
Motivated by this, we propose a novel task, dataset explanation.
Learning the Beauty in Songs: Neural Singing Voice Beautifier
Furthermore, we propose a latent-mapping algorithm in the latent space to convert the amateur vocal tone to the professional one.
Parallel and High-Fidelity Text-to-Lip Generation
However, the AR decoding manner generates current lip frame conditioned on frames generated previously, which inherently hinders the inference speed, and also has a detrimental effect on the quality of generated lip frames due to error propagation.
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