activity
20162024
most citedWavLM: Large-Scale Self-Supervised Pre-Training for Full Stack Speech Processing

1.9k citations · 2.7k across the 33 of their papers we have counts for

collaborators

43 papers

cs.CL2024★ 89 cited

DeepSeekMath: Pushing the Limits of Mathematical Reasoning in Open Language Models

Zhihong Shao, Peiyi Wang, Qihao Zhu +8

Mathematical reasoning poses a significant challenge for language models due to its complex and structured nature. In this paper, we introduce DeepSeekMath 7B, which continues pre-…

cs.SE2024★ 118 cited

DeepSeek-Coder: When the Large Language Model Meets Programming -- The Rise of Code Intelligence

Daya Guo, Qihao Zhu, Dejian Yang +10

The rapid development of large language models has revolutionized code intelligence in software development. However, the predominance of closed-source models has restricted extens…

cs.CL2024★ 18 cited

DeepSeekMoE: Towards Ultimate Expert Specialization in Mixture-of-Experts Language Models

Damai Dai, Chengqi Deng, Chenggang Zhao +14

In the era of large language models, Mixture-of-Experts (MoE) is a promising architecture for managing computational costs when scaling up model parameters. However, conventional M…

cs.CL2024★ 95 cited

DeepSeek LLM: Scaling Open-Source Language Models with Longtermism

DeepSeek-AI, :, Xiao Bi +85

The rapid development of open-source large language models (LLMs) has been truly remarkable. However, the scaling law described in previous literature presents varying conclusions,…

cs.SD2023★ 7 cited

WavMark: Watermarking for Audio Generation

Guangyu Chen, Yu Wu, Shujie Liu +3

Recent breakthroughs in zero-shot voice synthesis have enabled imitating a speaker's voice using just a few seconds of recording while maintaining a high level of realism. Alongsid…

eess.AS2023★ 3 cited

On decoder-only architecture for speech-to-text and large language model integration

Jian Wu, Yashesh Gaur, Zhuo Chen +8

Large language models (LLMs) have achieved remarkable success in the field of natural language processing, enabling better human-computer interaction using natural language. Howeve…