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20232026
most citedEvaluation of OpenAI o1: Opportunities and Challenges of AGI

22 citations · 49 across the 21 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.CL2024★ 2 cited

Towards Next-Generation Medical Agent: How o1 is Reshaping Decision-Making in Medical Scenarios

Shaochen Xu, Yifan Zhou, Zhengliang Liu +19

Artificial Intelligence (AI) has become essential in modern healthcare, with large language models (LLMs) offering promising advances in clinical decision-making. Traditional model…

eess.IV2024

EG-SpikeFormer: Eye-Gaze Guided Transformer on Spiking Neural Networks for Medical Image Analysis

Yi Pan, Hanqi Jiang, Junhao Chen +10

Neuromorphic computing has emerged as a promising energy-efficient alternative to traditional artificial intelligence, predominantly utilizing spiking neural networks (SNNs) implem…

cs.AI2024★ 12 cited

Large Language Models for Manufacturing

Yiwei Li, Huaqin Zhao, Hanqi Jiang +21

The rapid advances in Large Language Models (LLMs) have the potential to transform manufacturing industry, offering new opportunities to optimize processes, improve efficiency, and…

cs.CL2024

Analyzing Nobel Prize Literature with Large Language Models

Zhenyuan Yang, Zhengliang Liu, Jing Zhang +19

This study examines the capabilities of advanced Large Language Models (LLMs), particularly the o1 model, in the context of literary analysis. The outputs of these models are compa…

q-bio.NC2024

Role of Data-driven Regional Growth Model in Shaping Brain Folding Patterns

Jixin Hou, Zhengwang Wu, Xianyan Chen +5

The surface morphology of the developing mammalian brain is crucial for understanding brain function and dysfunction. Computational modeling offers valuable insights into the under…

cs.CL2024★ 22 cited

Evaluation of OpenAI o1: Opportunities and Challenges of AGI

Tianyang Zhong, Zhengliang Liu, Yi Pan +74

This comprehensive study evaluates the performance of OpenAI's o1-preview large language model across a diverse array of complex reasoning tasks, spanning multiple domains, includi…

cs.CL2024★ 4 cited

GP-GPT: Large Language Model for Gene-Phenotype Mapping

Yanjun Lyu, Zihao Wu, Lu Zhang +11

Pre-trained large language models(LLMs) have attracted increasing attention in biomedical domains due to their success in natural language processing. However, the complex traits a…