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researcher

Chong Ma

4 papers here

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

author position
  • middle author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CL3
  • cs.CV1
ORCID 0009-0001-8192-9676
same name
  • Chong Ma — 2 papers
  • Chong Ma — 1 paper
  • Chong Ma — 1 paper, h 7
  • Chong Ma — 1 paper, h 1
  • Chong Ma — 1 paper
  • Chong Ma — 1 paper

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

most citedRadiology-Llama2: Best-in-Class Large Language Model for Radiology

30 citations · 60 across the 4 of their papers we have counts for

collaborators

4 papers

cs.CL2023★ 30 cited

Radiology-Llama2: Best-in-Class Large Language Model for Radiology

Zhengliang Liu, Yiwei Li, Peng Shu +18

This paper introduces Radiology-Llama2, a large language model specialized for radiology through a process known as instruction tuning. Radiology-Llama2 is based on the Llama2 arch…

cs.CV2023★ 7 cited

Instruction-ViT: Multi-Modal Prompts for Instruction Learning in ViT

Zhenxiang Xiao, Yuzhong Chen, Lu Zhang +14

Prompts have been proven to play a crucial role in large language models, and in recent years, vision models have also been using prompts to improve scalability for multiple downst…

cs.CL2023★ 9 cited

ChatABL: Abductive Learning via Natural Language Interaction with ChatGPT

Tianyang Zhong, Yaonai Wei, Li Yang +13

Large language models (LLMs) such as ChatGPT have recently demonstrated significant potential in mathematical abilities, providing valuable reasoning paradigm consistent with human…

cs.CL2023★ 14 cited

Exploring the Trade-Offs: Unified Large Language Models vs Local Fine-Tuned Models for Highly-Specific Radiology NLI Task

Zihao Wu, Lu Zhang, Chao Cao +12

Recently, ChatGPT and GPT-4 have emerged and gained immense global attention due to their unparalleled performance in language processing. Despite demonstrating impressive capabili…

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