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

118 citations · 307 across the 5 of their papers we have counts for

collaborators

5 papers

cs.HC20243 cited

Reading Users' Minds from What They Say: An Investigation into LLM-based Empathic Mental Inference

Qihao Zhu, Leah Chong, Maria Yang +1

In human-centered design, developing a comprehensive and in-depth understanding of user experiences, i.e., empathic understanding, is paramount for designing products that truly me…

cs.CL202489 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.SE2024118 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.CL202495 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.HC20232 cited

Toward Artificial Empathy for Human-Centered Design: A Framework

Qihao Zhu, Jianxi Luo

In the early stages of the design process, designers explore opportunities by discovering unmet needs and developing innovative concepts as potential solutions. From a human-center…