24 citations · 30 across the 5 of their papers we have counts for
5 papers
Large Language Models for Generative Information Extraction: A Survey
Derong Xu, Wei Chen, Wenjun Peng +7
Information extraction (IE) aims to extract structural knowledge from plain natural language texts. Recently, generative Large Language Models (LLMs) have demonstrated remarkable c…
Large Language Model based Long-tail Query Rewriting in Taobao Search
Wenjun Peng, Guiyang Li, Yue Jiang +6
In the realm of e-commerce search, the significance of semantic matching cannot be overstated, as it directly impacts both user experience and company revenue. Along this line, que…
Are You Copying My Model? Protecting the Copyright of Large Language Models for EaaS via Backdoor Watermark
Wenjun Peng, Jingwei Yi, Fangzhao Wu +7
Large language models (LLMs) have demonstrated powerful capabilities in both text understanding and generation. Companies have begun to offer Embedding as a Service (EaaS) based on…
Social Context-aware GCN for Video Character Search via Scene-prior Enhancement
Wenjun Peng, Weidong He, Derong Xu +3
With the increasing demand for intelligent services of online video platforms, video character search task has attracted wide attention to support downstream applications like fine…
IHGNN: Interactive Hypergraph Neural Network for Personalized Product Search
Dian Cheng, Jiawei Chen, Wenjun Peng +5
A good personalized product search (PPS) system should not only focus on retrieving relevant products, but also consider user personalized preference. Recent work on PPS mainly ado…