Advancing Real-time Pandemic Forecasting Using Large Language Models: A
COVID-19 Case Study

Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study

10 April 2024

Yang Katie Zhao

Yiran Chen

Lauren M. Gardner

Papers citing "Advancing Real-time Pandemic Forecasting Using Large Language Models: A COVID-19 Case Study"

6 / 6 papers shown

Title
Towards Reliable and Interpretable Traffic Crash Pattern Prediction and Safety Interventions Using Customized Large Language Models Yang Katie Zhao Pu Wang Yibo Zhao H. Du Hao Frank Yang 12 0 0 18 May 2025
How Far are LLMs from Real Search? A Comprehensive Study on Efficiency, Completeness, and Inherent Capabilities Minhua Lin Hui Liu Xianfeng Tang Jingying Zeng Zhenwei Dai Chen Luo Zheng Li Xiang Zhang Qi He Suhang Wang OffRL LRM 48 0 0 25 Feb 2025
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 366 3,029 0 22 Mar 2023
ReAct: Synergizing Reasoning and Acting in Language Models Shunyu Yao Jeffrey Zhao Dian Yu Nan Du Izhak Shafran Karthik Narasimhan Yuan Cao LLMAG ReLM LRM 275 2,549 0 06 Oct 2022
Complexity-Based Prompting for Multi-Step Reasoning Yao Fu Hao-Chun Peng Ashish Sabharwal Peter Clark Tushar Khot ReLM LRM 164 415 0 03 Oct 2022
COVID-19 forecasting using new viral variants and vaccination effectiveness models E. Rashed Sachiko Kodera Akimasa Hirata 33 23 0 24 Jan 2022