most citedSIM: A mapping framework for built environment auditing based on street view imagery

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2025★ 1 cited

SIM: A mapping framework for built environment auditing based on street view imagery

Huan Ning, Zhenlong Li, Manzhu Yu +1

Built environment auditing refers to the systematic documentation and assessment of urban and rural spaces' physical, social, and environmental characteristics, such as walkability…

cs.CL2024

X-Shot: A Unified System to Handle Frequent, Few-shot and Zero-shot Learning Simultaneously in Classification

Hanzi Xu, Muhao Chen, Lifu Huang +2

In recent years, few-shot and zero-shot learning, which learn to predict labels with limited annotated instances, have garnered significant attention. Traditional approaches often…

cs.CL2024

Navigating the Dual Facets: A Comprehensive Evaluation of Sequential Memory Editing in Large Language Models

Zihao Lin, Mohammad Beigi, Hongxuan Li +5

Memory Editing (ME) has emerged as an efficient method to modify erroneous facts or inject new facts into Large Language Models (LLMs). Two mainstream ME methods exist: parameter-m…

cs.CV2024

Multimodal Instruction Tuning with Conditional Mixture of LoRA

Ying Shen, Zhiyang Xu, Qifan Wang +3

Multimodal Large Language Models (MLLMs) have demonstrated remarkable proficiency in diverse tasks across different domains, with an increasing focus on improving their zero-shot g…

cs.CL2024★ 1 cited

Contrastive Instruction Tuning

Tianyi Lorena Yan, Fei Wang, James Y. Huang +5

Instruction tuning has been used as a promising approach to improve the performance of large language models (LLMs) on unseen tasks. However, current LLMs exhibit limited robustnes…