Yujia Zhou

Orcid: 0000-0002-3530-3787

Affiliations:
  • Renmin University of China, Beijing, China


According to our database1, Yujia Zhou authored at least 36 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Bibliography

2024
WebUltron: An Ultimate Retriever on Webpages Under the Model-Centric Paradigm.
IEEE Trans. Knowl. Data Eng., September, 2024

How to personalize and whether to personalize? Candidate documents decide.
Knowl. Inf. Syst., September, 2024

Intent-Oriented Dynamic Interest Modeling for Personalized Web Search.
ACM Trans. Inf. Syst., July, 2024

CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges.
CoRR, 2024

Beyond Scalar Reward Model: Learning Generative Judge from Preference Data.
CoRR, 2024

Trustworthiness in Retrieval-Augmented Generation Systems: A Survey.
CoRR, 2024

Are Long-LLMs A Necessity For Long-Context Tasks?
CoRR, 2024

From Matching to Generation: A Survey on Generative Information Retrieval.
CoRR, 2024

Towards a Unified Language Model for Knowledge-Intensive Tasks Utilizing External Corpus.
CoRR, 2024

Information Retrieval Meets Large Language Models.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Cognitive Personalized Search Integrating Large Language Models with an Efficient Memory Mechanism.
Proceedings of the ACM on Web Conference 2024, 2024

Metacognitive Retrieval-Augmented Large Language Models.
Proceedings of the ACM on Web Conference 2024, 2024

Generative Retrieval via Term Set Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

CorpusLM: Towards a Unified Language Model on Corpus for Knowledge-Intensive Tasks.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Generating Intent-aware Clarifying Questions in Conversational Information Retrieval Systems.
Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Unsupervised Real-Time Hallucination Detection based on the Internal States of Large Language Models.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

Grounding Language Model with Chunking-Free In-Context Retrieval.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

BIDER: Bridging Knowledge Inconsistency for Efficient Retrieval-Augmented LLMs via Key Supporting Evidence.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements.
Proceedings of the Findings of the Association for Computational Linguistics, 2024

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
Enhancing Potential Re-Finding in Personalized Search With Hierarchical Memory Networks.
IEEE Trans. Knowl. Data Eng., April, 2023

DynamicRetriever: A Pre-trained Model-based IR System Without an Explicit Index.
Mach. Intell. Res., April, 2023

Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines.
CoRR, 2023

Incorporating Explicit Subtopics in Personalized Search.
Proceedings of the ACM Web Conference 2023, 2023

PSLOG: Pretraining with Search Logs for Document Ranking.
Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

Enhancing Generative Retrieval with Reinforcement Learning from Relevance Feedback.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

VILE: Block-Aware Visual Enhanced Document Retrieval.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

NOVO: Learnable and Interpretable Document Identifiers for Model-Based IR.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Ultron: An Ultimate Retriever on Corpus with a Model-based Indexer.
CoRR, 2022

DynamicRetriever: A Pre-training Model-based IR System with Neither Sparse nor Dense Index.
CoRR, 2022

Socialformer: Social Network Inspired Long Document Modeling for Document Ranking.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022

Improving Personalized Search with Dual-Feedback Network.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

2021
Group based Personalized Search by Integrating Search Behaviour and Friend Network.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021

PSSL: Self-supervised Learning for Personalized Search with Contrastive Sampling.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021

2020
Enhancing Re-finding Behavior with External Memories for Personalized Search.
Proceedings of the WSDM '20: The Thirteenth ACM International Conference on Web Search and Data Mining, 2020

Encoding History with Context-aware Representation Learning for Personalized Search.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020


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