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20222026
most citedNaturalSpeech 2: Latent Diffusion Models are Natural and Zero-Shot Speech and Singing Synthesizers

38 citations · 220 across the 24 of their papers we have counts for

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7 papers · 1 filter

cs.CL2023★ 2 cited

MusicAgent: An AI Agent for Music Understanding and Generation with Large Language Models

Dingyao Yu, Kaitao Song, Peiling Lu +5

AI-empowered music processing is a diverse field that encompasses dozens of tasks, ranging from generation tasks (e.g., timbre synthesis) to comprehension tasks (e.g., music classi…

cs.CL2023★ 35 cited

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,…

cs.CL2023★ 5 cited

Deliberate then Generate: Enhanced Prompting Framework for Text Generation

Bei Li, Rui Wang, Junliang Guo +7

Large language models (LLMs) have shown remarkable success across a wide range of natural language generation tasks, where proper prompt designs make great impacts. While existing…

cs.CL2023

ResiDual: Transformer with Dual Residual Connections

Shufang Xie, Huishuai Zhang, Junliang Guo +6

Transformer networks have become the preferred architecture for many tasks due to their state-of-the-art performance. However, the optimal way to implement residual connections in…

cs.CL2023★ 23 cited

A Study on ReLU and Softmax in Transformer

Kai Shen, Junliang Guo, Xu Tan +3

The Transformer architecture consists of self-attention and feed-forward networks (FFNs) which can be viewed as key-value memories according to previous works. However, FFN and tra…

cs.CL2022★ 12 cited

Empowering Diffusion Models on the Embedding Space for Text Generation

Zhujin Gao, Junliang Guo, Xu Tan +4

Diffusion models have achieved state-of-the-art synthesis quality on both visual and audio tasks, and recent works further adapt them to textual data by diffusing on the embedding…

cs.CL2022

VideoDubber: Machine Translation with Speech-Aware Length Control for Video Dubbing

Yihan Wu, Junliang Guo, Xu Tan +7

Video dubbing aims to translate the original speech in a film or television program into the speech in a target language, which can be achieved with a cascaded system consisting of…