most citedAGI for Agriculture

10 citations · 16 across the 2 of their papers we have counts for

collaborators

6 papers

cs.CL20246 cited

Reasoning before Comparison: LLM-Enhanced Semantic Similarity Metrics for Domain Specialized Text Analysis

Shaochen Xu, Zihao Wu, Huaqin Zhao +7

In this study, we leverage LLM to enhance the semantic analysis and develop similarity metrics for texts, addressing the limitations of traditional unsupervised NLP metrics like RO…

cs.LG2023

Identification of Causal Relationship between Amyloid-beta Accumulation and Alzheimer's Disease Progression via Counterfactual Inference

Haixing Dai, Mengxuan Hu, Qing Li +12

Alzheimer's disease (AD) is a neurodegenerative disorder that is beginning with amyloidosis, followed by neuronal loss and deterioration in structure, function, and cognition. The…

cs.CL2023

Exploring New Frontiers in Agricultural NLP: Investigating the Potential of Large Language Models for Food Applications

Saed Rezayi, Zhengliang Liu, Zihao Wu +8

This paper explores new frontiers in agricultural natural language processing by investigating the effectiveness of using food-related text corpora for pretraining transformer-base…

cs.CL2023

AD-AutoGPT: An Autonomous GPT for Alzheimer's Disease Infodemiology

Haixing Dai, Yiwei Li, Zhengliang Liu +14

In this pioneering study, inspired by AutoGPT, the state-of-the-art open-source application based on the GPT-4 large language model, we develop a novel tool called AD-AutoGPT which…

cs.AI202310 cited

AGI for Agriculture

Guoyu Lu, Sheng Li, Gengchen Mai +11

Artificial General Intelligence (AGI) is poised to revolutionize a variety of sectors, including healthcare, finance, transportation, and education. Within healthcare, AGI is being…

cs.AI2023

AGI: Artificial General Intelligence for Education

Ehsan Latif, Gengchen Mai, Matthew Nyaaba +6

Artificial general intelligence (AGI) has gained global recognition as a future technology due to the emergence of breakthrough large language models and chatbots such as GPT-4 and…