Shao, Yingxia
- Making Text Embedders Few-Shot Learners
2024/09/24 by Li, Chaofan, Qin, MingHao, Xiao, Shitao +5 · 29 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Llama2Vec: Unsupervised Adaptation of Large Language Models for Dense Retrieval
2023/12/24 by Zheng Liu, Liu, Zheng, Chaofan Li +6 · 14 citations
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text and Document Classification Technologies #Topic Modeling
- RetroMAE: Pre-Training Retrieval-oriented Language Models Via Masked Auto-Encoder
2022/05/24 by Xiao, Shitao, Liu, Zheng, Shao, Yingxia +1 · 8 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- LLMvsSmall Model? Large Language Model Based Text Augmentation Enhanced Personality Detection Model
2024/03/12 by Hu, Linmei, He, Hongyu, Wang, Duokang +3 · 9 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences
- Training Large-Scale News Recommenders with Pretrained Language Models in the Loop
2021/02/18 by Xiao, Shitao, Liu, Zheng, Shao, Yingxia +2 · 3 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings
2022/04/01 by Shitao Xiao, Xiao, Shitao, Zheng Liu +23 · 3 citations
Computer Science · #Advanced Image and Video Retrieval Techniques #Image Retrieval and Classification Techniques #Domain Adaptation and Few-Shot Learning
- Distributed Graph Neural Network Training: A Survey
2022/11/01 by Shao, Yingxia, Li, Hongzheng, Gu, Xizhi +6 · 3 citations
#Artificial Intelligence (cs.AI) #Databases (cs.DB) #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Parallel #and Cluster Computing (cs.DC)
- NSCaching: Simple and Efficient Negative Sampling for Knowledge Graph Embedding
2018/12/16 by Zhang, Yongqi, Yao, Quanming, Shao, Yingxia +1 · 2 citations
#Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search
2022/02/13 by Zhang, Jianjin, Liu, Zheng, Han, Weihao +9 · 2 citations
#Computation and Language (cs.CL) #FOS: Computer and information sciences #Information Retrieval (cs.IR)
- Experimental Analysis of Large-scale Learnable Vector Storage Compression
2023/11/27 by Hailin Zhang, Zhang, Hailin, Penghao Zhao +11 · 2 citations
Computer Science · #Databases (cs.DB) #FOS: Computer and information sciences #Face and Expression Recognition #Information Retrieval (cs.IR) #Machine Learning (cs.LG) #Recommender Systems and Techniques #Text and Document Classification Technologies
- Token-Efficient Leverage Learning in Large Language Models
2024/04/01 by Yuanhao Zeng, Min Wang, Zeng, Yuanhao +5 · 2 citations
Computer Science · #Natural Language Processing Techniques #Topic Modeling #Speech Recognition and Synthesis
- ChatBI: Towards Natural Language to Complex Business Intelligence SQL
2024/05/01 by Lian, Jinqing, Liu, Xinyi, Shao, Yingxia +6 · 2 citations
#Databases (cs.DB) #FOS: Computer and information sciences
- Self-Supervised Graph Co-Training for Session-based Recommendation
2021/08/24 by Xin Xia, Xia, Xin, Hongzhi Yin +7 · 1 citation
Computer Science · #Advanced Graph Neural Networks #FOS: Computer and information sciences #Information Retrieval (cs.IR) #Recommender Systems and Techniques #Topic Modeling
- An I/O-Efficient Disk-based Graph System for Scalable Second-Order Random Walk of Large Graphs
2022/03/30 by Li, Hongzheng, Shao, Yingxia, Du, Junping +2 · 1 citation
#Databases (cs.DB) #FOS: Computer and information sciences
- Heterogeneous Hypergraph Embedding for Graph Classification
2020/10/21 by Sun, Xiangguo, Yin, Hongzhi, Liu, Bo +4 · 1 citation
#FOS: Computer and information sciences #Social and Information Networks (cs.SI)
- Efficient Graph Neural Network Inference at Large Scale
2022/11/01 by Gao, Xinyi, Zhang, Wentao, Shao, Yingxia +3 · 1 citation
#FOS: Computer and information sciences #Machine Learning (cs.LG)
- RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models
2023/05/04 by Shitao Xiao, Xiao, Shitao, Zheng Liu +5 · 1 citation
Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
- Accelerating Scalable Graph Neural Network Inference with Node-Adaptive Propagation
2023/10/17 by Gao, Xinyi, Zhang, Wentao, Yu, Junliang +4 · 1 citation
#Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG)
- Towards A Generalist Code Embedding Model Based On Massive Data Synthesis
2025/05/19 by Li, Chaofan, Chen, Jianlyu, Shao, Yingxia +2 · 2 citations
#FOS: Computer and information sciences #Information Retrieval (cs.IR)