most citedSTBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis

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

collaborators

2 papers

cs.CL2024★ 2 cited

STBench: Assessing the Ability of Large Language Models in Spatio-Temporal Analysis

Wenbin Li, Di Yao, Ruibo Zhao +7

The rapid evolution of large language models (LLMs) holds promise for reforming the methodology of spatio-temporal data mining. However, current works for evaluating the spatio-tem…

cs.CV2022

Multi-Reference Image Super-Resolution: A Posterior Fusion Approach

Ke Zhao, Haining Tan, Tsz Fung Yau

Reference-based Super-resolution (RefSR) approaches have recently been proposed to overcome the ill-posed problem of image super-resolution by providing additional information from…