19 citations · 33 across the 4 of their papers we have counts for
4 papers
BoostER: Leveraging Large Language Models for Enhancing Entity Resolution
Huahang Li, Shuangyin Li, Fei Hao +3
Entity resolution, which involves identifying and merging records that refer to the same real-world entity, is a crucial task in areas like Web data integration. This importance is…
S-DMs:Skip-Step Diffusion Models
Yixuan Wang, Shuangyin Li
Diffusion models have emerged as powerful generative tools, rivaling GANs in sample quality and mirroring the likelihood scores of autoregressive models. A subset of these models,…
Topic-DPR: Topic-based Prompts for Dense Passage Retrieval
Qingfa Xiao, Shuangyin Li, Lei Chen
Prompt-based learning's efficacy across numerous natural language processing tasks has led to its integration into dense passage retrieval. Prior research has mainly focused on enh…
Neural-FEBI: Accurate Function Identification in Ethereum Virtual Machine Bytecode
Jiahao He, Shuangyin Li, Xinming Wang +3
Millions of smart contracts have been deployed onto the Ethereum platform, posing potential attack subjects. Therefore, analyzing contract binaries is vital since their sources are…