35 citations · 39 across the 5 of their papers we have counts for
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cs.CL2024
TemPrompt: Multi-Task Prompt Learning for Temporal Relation Extraction in RAG-based Crowdsourcing Systems
Jing Yang, Yu Zhao, Linyao Yang +3
Temporal relation extraction (TRE) aims to grasp the evolution of events or actions, and thus shape the workflow of associated tasks, so it holds promise in helping understand task…
cs.CL2024
RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
Jing Yang, Xiao Wang, Yu Zhao +2
Crowdsourcing is a critical technology in social manufacturing, which leverages an extensive and boundless reservoir of human resources to handle a wide array of complex tasks. The…
cs.CL2024★ 4 cited
Two Heads Are Better Than One: Integrating Knowledge from Knowledge Graphs and Large Language Models for Entity Alignment
Linyao Yang, Hongyang Chen, Xiao Wang +3
Entity alignment, which is a prerequisite for creating a more comprehensive Knowledge Graph (KG), involves pinpointing equivalent entities across disparate KGs. Contemporary method…