Evaluating Intelligence via Trial and Error.
CoRR, February, 2025
Dynamic and Parametric Retrieval-Augmented Generation.
Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025
StepTool: A Step-grained Reinforcement Learning Framework for Tool Learning in LLMs.
CoRR, 2024
Query Augmentation by Decoding Semantics from Brain Signals.
CoRR, 2024
Capability-aware Prompt Reformulation Learning for Text-to-Image Generation.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Scaling Laws For Dense Retrieval.
Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024
Query Augmentation with Brain Signals.
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
Prompt Refinement with Image Pivot for Text-to-Image Generation.
Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024
Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
Constructing Tree-based Index for Efficient and Effective Dense Retrieval.
Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2023
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval (Extended Abstract).
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
Disentangled Modeling of Domain and Relevance for Adaptable Dense Retrieval.
CoRR, 2022
Evaluating Extrapolation Performance of Dense Retrieval.
CoRR, 2022
Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.
Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022
Joint Optimization of Multi-vector Representation with Product Quantization.
Proceedings of the Natural Language Processing and Chinese Computing, 2022
Evaluating Interpolation and Extrapolation Performance of Neural Retrieval Models.
Proceedings of the 31st ACM International Conference on Information & Knowledge Management, 2022
Interpreting Dense Retrieval as Mixture of Topics.
CoRR, 2021
Optimizing Dense Retrieval Model Training with Hard Negatives.
Proceedings of the SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2021
Jointly Optimizing Query Encoder and Product Quantization to Improve Retrieval Performance.
Proceedings of the CIKM '21: The 30th ACM International Conference on Information and Knowledge Management, Virtual Event, Queensland, Australia, November 1, 2021
Learning To Retrieve: How to Train a Dense Retrieval Model Effectively and Efficiently.
CoRR, 2020
RepBERT: Contextualized Text Embeddings for First-Stage Retrieval.
CoRR, 2020
Leveraging Passage-level Cumulative Gain for Document Ranking.
Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020
An Analysis of BERT in Document Ranking.
Proceedings of the 43rd International ACM SIGIR conference on research and development in Information Retrieval, 2020