2 papers
cs.IR2025
Query Drift Compensation: Enabling Compatibility in Continual Learning of Retrieval Embedding Models
Dipam Goswami, Liying Wang, Bartłomiej Twardowski +1
Text embedding models enable semantic search, powering several NLP applications like Retrieval Augmented Generation by efficient information retrieval (IR). However, text embedding…
cs.LG2023
Multi-perspective Feedback-attention Coupling Model for Continuous-time Dynamic Graphs
Xiaobo Zhu, Yan Wu, Zhipeng Li +4
Recently, representation learning over graph networks has gained popularity, with various models showing promising results. Despite this, several challenges persist: 1) most method…