1 citations · 2 across the 5 of their papers we have counts for
5 papers
MaskSearch: A Universal Pre-Training Framework to Enhance Agentic Search Capability
Weiqi Wu, Xin Guan, Shen Huang +6
Retrieval-Augmented Language Models (RALMs) represent a classic paradigm where models enhance generative capabilities using external knowledge retrieved via a specialized module. R…
VAEMax: Open-Set Intrusion Detection based on OpenMax and Variational Autoencoder
Zhiyin Qiu, Ding Zhou, Yahui Zhai +3
Promptly discovering unknown network attacks is critical for reducing the risk of major loss imposed on system or equipment. This paper aims to develop an open-set intrusion detect…
Query-Based Knowledge Sharing for Open-Vocabulary Multi-Label Classification
Xuelin Zhu, Jian Liu, Dongqi Tang +4
Identifying labels that did not appear during training, known as multi-label zero-shot learning, is a non-trivial task in computer vision. To this end, recent studies have attempte…
Multi-hop Commonsense Knowledge Injection Framework for Zero-Shot Commonsense Question Answering
Xin Guan, Biwei Cao, Qingqing Gao +3
Commonsense question answering (QA) research requires machines to answer questions based on commonsense knowledge. However, this research requires expensive labor costs to annotate…
No Place to Hide: Dual Deep Interaction Channel Network for Fake News Detection based on Data Augmentation
Biwei Cao, Lulu Hua, Jiuxin Cao +3
Online Social Network (OSN) has become a hotbed of fake news due to the low cost of information dissemination. Although the existing methods have made many attempts in news content…