Zheng Liu
Orcid: 0000-0001-7765-8466Affiliations:
- Beijing Academy of Artificial Intelligence, China
- Huawei Poisson Lab, Shenzhen, China
- Microsoft Research Asia, Beijing, China
- Hong Kong University of Science & Technology, Department of Computer Science and Engineering, Hong Kong
According to our database1,
Zheng Liu
authored at least 109 papers
between 2014 and 2025.
Collaborative distances:
Collaborative distances:
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Book In proceedings Article PhD thesis Dataset OtherLinks
Online presence:
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on orcid.org
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Bibliography
2025
Proceedings of the 31st International Conference on Computational Linguistics, 2025
How Credible Is an Answer From Retrieval-Augmented LLMs? Investigation and Evaluation With Multi-Hop QA.
Proceedings of the 31st International Conference on Computational Linguistics, 2025
2024
When large language models meet personalization: perspectives of challenges and opportunities.
World Wide Web (WWW), July, 2024
Imitate, Explore, and Self-Improve: A Reproduction Report on Slow-thinking Reasoning Systems.
CoRR, 2024
AssistRAG: Boosting the Potential of Large Language Models with an Intelligent Information Assistant.
CoRR, 2024
CoRR, 2024
CoRR, 2024
Lighter And Better: Towards Flexible Context Adaptation For Retrieval Augmented Generation.
CoRR, 2024
CoRR, 2024
CoRR, 2024
BGE Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models.
CoRR, 2024
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
CoRR, 2024
CoRR, 2024
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
MS MARCO Web Search: A Large-scale Information-rich Web Dataset with Millions of Real Click Labels.
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the ACM on Web Conference 2024, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Boosting the Potential of Large Language Models with an Intelligent Information Assistant.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
ChatRetriever: Adapting Large Language Models for Generalized and Robust Conversational Dense Retrieval.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
RAG-Studio: Towards In-Domain Adaptation of Retrieval Augmented Generation Through Self-Alignment.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Negating Negatives: Alignment with Human Negative Samples via Distributional Dispreference Optimization.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
M3-Embedding: Multi-Linguality, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
2023
IEEE Trans. Knowl. Data Eng., October, 2023
ACM Trans. Inf. Syst., April, 2023
CDSM: Cascaded Deep Semantic Matching on Textual Graphs Leveraging Ad-hoc Neighbor Selection.
ACM Trans. Intell. Syst. Technol., April, 2023
ACM Trans. Inf. Syst., January, 2023
When Large Language Models Meet Personalization: Perspectives of Challenges and Opportunities.
CoRR, 2023
CoRR, 2023
WebBrain: Learning to Generate Factually Correct Articles for Queries by Grounding on Large Web Corpus.
CoRR, 2023
Proceedings of the ACM Web Conference 2023, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Proceedings of the Database Systems for Advanced Applications, 2023
RetroMAE-2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
RetroMAE v2: Duplex Masked Auto-Encoder For Pre-Training Retrieval-Oriented Language Models.
CoRR, 2022
CoRR, 2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
CoRR, 2022
Uni-Retriever: Towards Learning The Unified Embedding Based Retriever in Bing Sponsored Search.
CoRR, 2022
CoRR, 2022
Progressively Optimized Bi-Granular Document Representation for Scalable Embedding Based Retrieval.
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Proceedings of the WWW '22: The ACM Web Conference 2022, Virtual Event, Lyon, France, April 25, 2022
Distill-VQ: Learning Retrieval Oriented Vector Quantization By Distilling Knowledge from Dense Embeddings.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Ada-Ranker: A Data Distribution Adaptive Ranking Paradigm for Sequential Recommendation.
Proceedings of the SIGIR '22: The 45th International ACM SIGIR Conference on Research and Development in Information Retrieval, Madrid, Spain, July 11, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Uni-Retriever: Towards Learning the Unified Embedding Based Retriever in Bing Sponsored Search.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Proceedings of the 29th International Conference on Computational Linguistics, 2022
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
CoRR, 2021
Hybrid Encoder: Towards Efficient and Precise Native AdsRecommendation via Hybrid Transformer Encoding Networks.
CoRR, 2021
CoRR, 2021
CoRR, 2021
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Lighter and Better: Low-Rank Decomposed Self-Attention Networks for Next-Item Recommendation.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the KDD '21: The 27th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2021
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021
Leveraging Bidding Graphs for Advertiser-Aware Relevance Modeling in Sponsored Search.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021
2020
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
Leveraging Demonstrations for Reinforcement Recommendation Reasoning over Knowledge Graphs.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Octopus: Comprehensive and Elastic User Representation for the Generation of Recommendation Candidates.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
CoRR, 2019
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2018
Proceedings of the 34th IEEE International Conference on Data Engineering, 2018
2017
Proc. VLDB Endow., 2017
Proceedings of the 18th Annual Conference of the International Speech Communication Association, 2017
Proceedings of the 33rd IEEE International Conference on Data Engineering, 2017
2016
Proceedings of the 32nd IEEE International Conference on Data Engineering, 2016
2015
Proceedings of the 31st IEEE International Conference on Data Engineering, 2015
2014