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Jing Ma

8 papers hereh-index 101.3k citations13 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author5
  • last author2

Across the 7 of 8 papers where every author was matched, so the position is known.

fields
  • cs.CL4
  • cs.CV3
  • cs.HC1
same name
  • Jing Ma — 24 papers, h 8
  • Jing Ma — 16 papers, h 9
  • Jing Ma — 14 papers, h 13
  • Jing Ma — 13 papers, h 5
  • Jing Ma — 12 papers, h 11
  • Jing Ma — 10 papers, h 30

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20212023
most citedWizardCoder: Empowering Code Large Language Models with Evol-Instruct

84 citations · 163 across the 8 of their papers we have counts for

collaborators
Showing cs.CLShow all

4 papers · 1 filter

cs.CL2023★ 84 cited

WizardCoder: Empowering Code Large Language Models with Evol-Instruct

Ziyang Luo, Can Xu, Pu Zhao +7

Code Large Language Models (Code LLMs), such as StarCoder, have demonstrated exceptional performance in code-related tasks. However, most existing models are solely pre-trained on…

cs.CL2023★ 8 cited

Augmented Large Language Models with Parametric Knowledge Guiding

Ziyang Luo, Can Xu, Pu Zhao +5

Large Language Models (LLMs) have significantly advanced natural language processing (NLP) with their impressive language understanding and generation capabilities. However, their…

cs.CL2022★ 4 cited

Zero-Shot Rumor Detection with Propagation Structure via Prompt Learning

Hongzhan Lin, Pengyao Yi, Jing Ma +4

The spread of rumors along with breaking events seriously hinders the truth in the era of social media. Previous studies reveal that due to the lack of annotated resources, rumors…

cs.CL2022★ 3 cited

I-Tuning: Tuning Frozen Language Models with Image for Lightweight Image Captioning

Ziyang Luo, Zhipeng Hu, Yadong Xi +2

Image Captioning is a traditional vision-and-language task that aims to generate the language description of an image. Recent studies focus on scaling up the model size and the num…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.