| 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 ACL 2024 Findings, 2024 | 325* | 2024 |
| Landmark Embedding: A Chunking-Free Embedding Method For Retrieval Augmented Long-Context Large Language Models K Luo, Z Liu, S Xiao, T Zhou, Y Chen, Z Jun, K Liu ACL 2024, 2024 | 16 | 2024 |
| Making text embedders few-shot learners C Li, MH Qin, S Xiao, J Chen, K Luo, Y Shao, D Lian, Z Liu ICLR 2025, 2024 | 13 | 2024 |
| Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment K Luo, M Qin, Z Liu, S Xiao, J Zhao, K Liu EMNLP 2024, 2024 | 4 | 2024 |
| Open event causality extraction by the assistance of llm in task annotation, dataset, and method K Luo, T Zhou, Y Chen, J Zhao, K Liu Proceedings of the Workshop: Bridging Neurons and Symbols for Natural …, 2024 | 4 | 2024 |
| KMatrix: A Flexible Heterogeneous Knowledge Enhancement Toolkit for Large Language Model S Wu, D Wu, K Luo, XY Zhang, J Zhao, K Liu Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | 1 | 2024 |
| Does RAG Really Perform Bad For Long-Context Processing? K Luo, Z Liu, P Zhang, H Qian, J Zhao, K Liu arXiv preprint arXiv:2502.11444, 2025 | | 2025 |
| On the In-context Generation of Language Models Z Jiang, Y Zhang, K Luo, X Yuan, J Zhao, K Liu Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
Shitao XiaoBUPTE-mail megerősítve itt: bupt.edu.cn