Liu, Yiqun

Optimizing Dense Retrieval Model Training with Hard Negatives

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2021) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 251

Optimizing Dense Retrieval Model Training with Hard Negatives

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Information Retrieval and Search BehaviorTopic Modeling

Cited by 248

Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2021) · Proceedings of the 30th ACM International Conference on Information & Knowledge Management

Advanced Image and Video Retrieval TechniquesInformation Retrieval and Search Behavior

Cited by 91

DRAGIN: Dynamic Retrieval Augmented Generation based on the Real-time Information Needs of Large Language Models

Su, W., Tang, Y., Ai, Q., Wu, Z., & Liu, Y. (2024) · Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 81

SAILER: Structure-aware Pre-trained Language Model for Legal Case Retrieval

Li, H., Ai, Q., Chen, J., Dong, Q., Wu, Y., Liu, Y., Chen, C., & Tian, Q. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Artificial Intelligence in LawInformation Retrieval and Search Behavior

Cited by 79

Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval

Zhan, J., Mao, J., Liu, Y., Guo, J., Zhang, M., & Ma, S. (2022) · Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining

Information Retrieval and Search BehaviorAdvanced Image and Video Retrieval Techniques

Cited by 72

CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks

Chen, J., Zhang, R., Guo, J., Liu, Y., Fan, Y., & Cheng, X. (2022) · Proceedings of the 31st ACM International Conference on Information & Knowledge Management

Information Retrieval and Search BehaviorTopic Modeling

Cited by 57

A Unified Generative Retriever for Knowledge-Intensive Language Tasks via Prompt Learning

Chen, J., Zhang, R., Guo, J., de Rijke, M., Liu, Y., Fan, Y., & Cheng, X. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 32

Scaling Laws For Dense Retrieval

Fang, Y., Zhan, J., Ai, Q., Mao, J., Su, W., Chen, J., & Liu, Y. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Topic ModelingInformation Retrieval and Search Behavior

Cited by 28

Capability-aware Prompt Reformulation Learning for Text-to-Image Generation

Zhan, J., Ai, Q., Liu, Y., Chen, J., & Ma, S. (2024) · Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 7

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Ai, Q., Tang, Y., Wang, C., Long, J., Su, W., & Liu, Y. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0