| C-pack: Packaged resources to advance general chinese embedding S Xiao, Z Liu, P Zhang, N Muennighof arXiv preprint arXiv:2309.07597, 2023 | 149 | 2023 |
| 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 | 43 | 2024 |
| Retrieve anything to augment large language models P Zhang, S Xiao, Z Liu, Z Dou, JY Nie arXiv preprint arXiv:2310.07554, 2023 | 41 | 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 | 38 | 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 | 20 | 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 | 13 | 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 | 8 | 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 | 6 | 2023 |
| 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 | 5 | 2024 |
| C-pack: packaged resources to advance general Chinese embedding. 2023 S Xiao, Z Liu, P Zhang, N Muennighof arXiv preprint arXiv:2309.07597, 2023 | 5 | 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 | 5 | 2021 |
| Hybrid Inverted Index Is a Robust Accelerator for Dense Retrieval P Zhang, Z Liu, S Xiao, Z Dou, J Yao Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 2 | 2023 |
| Are Long-LLMs A Necessity For Long-Context Tasks? H Qian, Z Liu, P Zhang, K Mao, Y Zhou, X Chen, Z Dou arXiv preprint arXiv:2405.15318, 2024 | 1 | 2024 |
| Extending Llama-3's Context Ten-Fold Overnight P Zhang, N Shao, Z Liu, S Xiao, H Qian, Q Ye, Z Dou arXiv preprint arXiv:2404.19553, 2024 | 1 | 2024 |
| C-Pack: Packed Resources For General Chinese Embeddings S Xiao, Z Liu, P Zhang, N Muennighoff, D Lian, JY Nie Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | | 2024 |
| Compressing Lengthy Context With UltraGist P Zhang, Z Liu, S Xiao, N Shao, Q Ye, Z Dou arXiv preprint arXiv:2405.16635, 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 |
| A Multi-Task Embedder For Retrieval Augmented LLMs P Zhang, S Xiao, Z Liu, Z Dou, JY Nie | | |
| An Element is Worth a Thousand Words: Enhancing Legal Case Retrieval by Incorporating Legal Elements C Deng, Z Dou, Y Zhou, P Zhang, K Mao | | |
