16 citations · 83 across the 18 of their papers we have counts for
10 papers · 1 filter
Trustworthiness in Retrieval-Augmented Generation Systems: A Survey
Yujia Zhou, Wenbo Zhang, Jingying Shao +10
Retrieval-Augmented Generation (RAG) has quickly grown into a pivotal paradigm in the development of Large Language Models (LLMs). Although existing research mainly emphasizes accu…
From Matching to Generation: A Survey on Generative Information Retrieval
Xiaoxi Li, Jiajie Jin, Yujia Zhou +4
Information Retrieval (IR) systems are crucial tools for users to access information, which have long been dominated by traditional methods relying on similarity matching. With the…
Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism
Yujia Zhou, Qiannan Zhu, Jiajie Jin +1
Traditional search engines usually provide identical search results for all users, overlooking individual preferences. To counter this limitation, personalized search has been deve…
UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models
Xiaoxi Li, Yujia Zhou, Zhicheng Dou
Generative information retrieval, encompassing two major tasks of Generative Document Retrieval (GDR) and Grounded Answer Generation (GAR), has gained significant attention in the…
Generative Retrieval via Term Set Generation
Peitian Zhang, Zheng Liu, Yujia Zhou +3
Recently, generative retrieval emerges as a promising alternative to traditional retrieval paradigms. It assigns each document a unique identifier, known as DocID, and employs a ge…
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer
Yujia Zhou, Jing Yao, Zhicheng Dou +3
Document retrieval has been extensively studied within the index-retrieve framework for decades, which has withstood the test of time. Unfortunately, such a pipelined framework lim…
DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index
Yujia Zhou, Jing Yao, Zhicheng Dou +2
Web search provides a promising way for people to obtain information and has been extensively studied. With the surgence of deep learning and large-scale pre-training techniques, v…
Socialformer: Social Network Inspired Long Document Modeling for Document Ranking
Yujia Zhou, Zhicheng Dou, Huaying Yuan +1
Utilizing pre-trained language models has achieved great success for neural document ranking. Limited by the computational and memory requirements, long document modeling becomes a…
Group based Personalized Search by Integrating Search Behaviour and Friend Network
Yujia Zhou, Zhicheng Dou, Bingzheng Wei +1
The key to personalized search is to build the user profile based on historical behaviour. To deal with the users who lack historical data, group based personalized models were pro…
PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling
Yujia Zhou, Zhicheng Dou, Yutao Zhu +1
Personalized search plays a crucial role in improving user search experience owing to its ability to build user profiles based on historical behaviors. Previous studies have made g…