| C-pack: Packaged resources to advance general chinese embedding S Xiao, Z Liu, P Zhang, N Muennighof arXiv preprint arXiv:2309.07597, 2023 | 90 | 2023 |
| Retrieve anything to augment large language models P Zhang, S Xiao, Z Liu, Z Dou, JY Nie arXiv preprint arXiv:2310.07554, 2023 | 32 | 2023 |
| Ultron: An ultimate retriever on corpus with a model-based indexer Y Zhou, J Yao, Z Dou, L Wu, P Zhang, JR Wen arXiv preprint arXiv:2208.09257, 2022 | 28 | 2022 |
| Soaring from 4K to 400K: Extending LLM's Context with Activation Beacon P Zhang, Z Liu, S Xiao, N Shao, Q Ye, Z Dou arXiv preprint arXiv:2401.03462, 2024 | 12 | 2024 |
| Bge m3-embedding: Multi-lingual, multi-functionality, multi-granularity text embeddings through self-knowledge distillation J Chen, S Xiao, P Zhang, K Luo, D Lian, Z Liu arXiv preprint arXiv:2402.03216, 2024 | 10 | 2024 |
| Term-Sets Can Be Strong Document Identifiers For Auto-Regressive Search Engines P Zhang, Z Liu, Y Zhou, Z Dou, Z Cao arXiv preprint arXiv:2305.13859, 2023 | 7 | 2023 |
| Learning to select historical news articles for interaction based neural news recommendation P Zhang, Z Dou, J Yao arXiv preprint arXiv:2110.06459, 2021 | 4 | 2021 |
| INTERS: Unlocking the Power of Large Language Models in Search with Instruction Tuning Y Zhu, P Zhang, C Zhang, Y Chen, B Xie, Z Dou, Z Liu, JR Wen arXiv preprint arXiv:2401.06532, 2024 | 3 | 2024 |
| Lm-cocktail: Resilient tuning of language models via model merging S Xiao, Z Liu, P Zhang, X Xing arXiv preprint arXiv:2311.13534, 2023 | 2 | 2023 |
| From Matching to Generation: A Survey on Generative Information Retrieval X Li, J Jin, Y Zhou, Y Zhang, P Zhang, Y Zhu, Z Dou arXiv preprint arXiv:2404.14851, 2024 | | 2024 |
| Extensible Embedding: A Flexible Multipler For LLM's Context Length N Shao, S Xiao, Z Liu, P Zhang arXiv preprint arXiv:2402.11577, 2024 | | 2024 |
| Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval P Zhang, Z Liu, S Xiao, Z Dou, J Yao The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | | 2023 |
