activity
20222026
most citedSummary of ChatGPT-Related Research and Perspective Towards the Future of Large Language Models

765 citations · 1.9k across the 87 of their papers we have counts for

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12 papers · 1 filter

cs.AI2026

Toward Vibe Medicine: A Self-Evolving Multi-Agent Framework for Clinical Decision Support

Qianxue Zhang, Yiming Ren, Shihuan Qin +18

In recent years, the advances of large language models and autonomous agents have revolutionized the healthcare field, facilitating diagnosis and improving treatment results. Howev…

cs.AI2026

Empowering Locally Deployable Medical Agent via State Enhanced Logical Skills for FHIR-based Clinical Tasks

Wanrong Yang, Zhengliang Liu, Yuan Li +6

While Large Language Models demonstrate immense potential as proactive Medical Agents, their real-world deployment is severely bottlenecked by data scarcity under privacy constrain…

cs.AI2025

Logic-of-Thought: Empowering Large Language Models with Logic Programs for Solving Puzzles in Natural Language

Naiqi Li, Peiyuan Liu, Zheng Liu +3

Solving puzzles in natural language poses a long-standing challenge in AI. While large language models (LLMs) have recently shown impressive capabilities in a variety of tasks, the…

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.AI2024★ 19 cited

A Comprehensive Review of Multimodal Large Language Models: Performance and Challenges Across Different Tasks

Jiaqi Wang, Hanqi Jiang, Yiheng Liu +21

In an era defined by the explosive growth of data and rapid technological advancements, Multimodal Large Language Models (MLLMs) stand at the forefront of artificial intelligence (…

cs.AI2024★ 19 cited

Polaris: A Safety-focused LLM Constellation Architecture for Healthcare

Subhabrata Mukherjee, Paul Gamble, Markel Sanz Ausin +23

We develop Polaris, the first safety-focused LLM constellation for real-time patient-AI healthcare conversations. Unlike prior LLM works in healthcare focusing on tasks like questi…

cs.AI2023★ 26 cited

Multimodality of AI for Education: Towards Artificial General Intelligence

Gyeong-Geon Lee, Lehong Shi, Ehsan Latif +10

This paper presents a comprehensive examination of how multimodal artificial intelligence (AI) approaches are paving the way towards the realization of Artificial General Intellige…

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.AI2023★ 32 cited

Towards Artificial General Intelligence (AGI) in the Internet of Things (IoT): Opportunities and Challenges

Fei Dou, Jin Ye, Geng Yuan +22

Artificial General Intelligence (AGI), possessing the capacity to comprehend, learn, and execute tasks with human cognitive abilities, engenders significant anticipation and intrig…

cs.AI2023★ 44 cited

Artificial General Intelligence for Medical Imaging Analysis

Xiang Li, Lin Zhao, Lu Zhang +16

Large-scale Artificial General Intelligence (AGI) models, including Large Language Models (LLMs) such as ChatGPT/GPT-4, have achieved unprecedented success in a variety of general…

cs.AI2023★ 2 cited

When Brain-inspired AI Meets AGI

Lin Zhao, Lu Zhang, Zihao Wu +11

Artificial General Intelligence (AGI) has been a long-standing goal of humanity, with the aim of creating machines capable of performing any intellectual task that humans can do. T…

cs.AI2022★ 4 cited

Coarse-to-fine Knowledge Graph Domain Adaptation based on Distantly-supervised Iterative Training

Hongmin Cai, Wenxiong Liao, Zhengliang Liu +12

Modern supervised learning neural network models require a large amount of manually labeled data, which makes the construction of domain-specific knowledge graphs time-consuming an…