5 papers
Large Language Model-Powered Evolutionary Code Optimization on a Phylogenetic Tree
Leyi Zhao, Weijie Huang, Yitong Guo +3
Optimizing scientific computing algorithms for modern GPUs is a labor-intensive and iterative process involving repeated code modification, benchmarking, and tuning across complex…
EvoPrompt: Connecting LLMs with Evolutionary Algorithms Yields Powerful Prompt Optimizers
Qingyan Guo, Rui Wang, Junliang Guo +6
Large Language Models (LLMs) excel in various tasks, but they rely on carefully crafted prompts that often demand substantial human effort. To automate this process, in this paper,…
DAE-Talker: High Fidelity Speech-Driven Talking Face Generation with Diffusion Autoencoder
Chenpeng Du, Qi Chen, Tianyu He +5
While recent research has made significant progress in speech-driven talking face generation, the quality of the generated video still lags behind that of real recordings. One reas…
UniAudio: An Audio Foundation Model Toward Universal Audio Generation
Dongchao Yang, Jinchuan Tian, Xu Tan +9
Large Language models (LLM) have demonstrated the capability to handle a variety of generative tasks. This paper presents the UniAudio system, which, unlike prior task-specific app…
Memories are One-to-Many Mapping Alleviators in Talking Face Generation
Anni Tang, Tianyu He, Xu Tan +2
Talking face generation aims at generating photo-realistic video portraits of a target person driven by input audio. Due to its nature of one-to-many mapping from the input audio t…