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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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7 papers · 1 filter

cs.CL2026

OnePred: Next-Query Prediction via Recursive Intent Memory in Multi-Turn Conversations

Jiangwang Chen, Bowen Zhang, Zixin Song +4

Although large language model (LLM) conversational systems process millions of multi-turn dialogues daily, they remain fundamentally reactive: they respond only after the user type…

cs.CL2025

AD-GPT: Large Language Models in Alzheimer's Disease

Ziyu Liu, Lintao Tang, Zeliang Sun +11

Large language models (LLMs) have emerged as powerful tools for medical information retrieval, yet their accuracy and depth remain limited in specialized domains such as Alzheimer'…

cs.CL2025★ 1 cited

Knowledge Distillation and Dataset Distillation of Large Language Models: Emerging Trends, Challenges, and Future Directions

Luyang Fang, Xiaowei Yu, Jiazhang Cai +23

The exponential growth of Large Language Models (LLMs) continues to highlight the need for efficient strategies to meet ever-expanding computational and data demands. This survey p…

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…

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…

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…