activity
20232026
most citedRevolutionizing Finance with LLMs: An Overview of Applications and Insights

43 citations · 211 across the 38 of their papers we have counts for

collaborators
Showing 2023Show all

8 papers · 1 filter

cs.CV2023★ 7 cited

On the Promises and Challenges of Multimodal Foundation Models for Geographical, Environmental, Agricultural, and Urban Planning Applications

Chenjiao Tan, Qian Cao, Yiwei Li +15

The advent of large language models (LLMs) has heightened interest in their potential for multimodal applications that integrate language and vision. This paper explores the capabi…

cs.CL2023★ 7 cited

Ophtha-LLaMA2: A Large Language Model for Ophthalmology

Huan Zhao, Qian Ling, Yi Pan +14

In recent years, pre-trained large language models (LLMs) have achieved tremendous success in the field of Natural Language Processing (NLP). Prior studies have primarily focused o…

eess.IV2023★ 12 cited

Holistic Evaluation of GPT-4V for Biomedical Imaging

Zhengliang Liu, Hanqi Jiang, Tianyang Zhong +47

In this paper, we present a large-scale evaluation probing GPT-4V's capabilities and limitations for biomedical image analysis. GPT-4V represents a breakthrough in artificial gener…

cs.CL2023★ 6 cited

Evaluating Large Language Models in Ophthalmology

Jason Holmes, Shuyuan Ye, Yiwei Li +11

Purpose: The performance of three different large language models (LLMS) (GPT-3.5, GPT-4, and PaLM2) in answering ophthalmology professional questions was evaluated and compared wi…

cs.CL2023★ 4 cited

Evaluating multiple large language models in pediatric ophthalmology

Jason Holmes, Rui Peng, Yiwei Li +10

IMPORTANCE The response effectiveness of different large language models (LLMs) and various individuals, including medical students, graduate students, and practicing physicians, i…

cs.CL2023★ 2 cited

Evaluating the Potential of Leading Large Language Models in Reasoning Biology Questions

Xinyu Gong, Jason Holmes, Yiwei Li +11

Recent advances in Large Language Models (LLMs) have presented new opportunities for integrating Artificial General Intelligence (AGI) into biological research and education. This…

cs.AI2023★ 16 cited

Transformation vs Tradition: Artificial General Intelligence (AGI) for Arts and Humanities

Zhengliang Liu, Yiwei Li, Qian Cao +9

Recent advances in artificial general intelligence (AGI), particularly large language models and creative image generation systems have demonstrated impressive capabilities on dive…

cs.CL2023★ 11 cited

PharmacyGPT: The AI Pharmacist

Zhengliang Liu, Zihao Wu, Mengxuan Hu +12

In this study, we introduce PharmacyGPT, a novel framework to assess the capabilities of large language models (LLMs) such as ChatGPT and GPT-4 in emulating the role of clinical ph…