| Is ChatGPT good at search? investigating large language models as re-ranking agents W Sun, L Yan, X Ma, S Wang, P Ren, Z Chen, D Yin, Z Ren Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 356 | 2023 |
| Prop: Pre-training with representative words prediction for ad-hoc retrieval X Ma, J Guo, R Zhang, Y Fan, X Ji, X Cheng Proceedings of the 14th ACM international conference on web search and data …, 2021 | 108 | 2021 |
| Pre-training methods in information retrieval Y Fan, X Xie, Y Cai, J Chen, X Ma, X Li, R Zhang, J Guo Foundations and Trends® in Information Retrieval 16 (3), 178-317, 2022 | 95 | 2022 |
| B-PROP: bootstrapped pre-training with representative words prediction for ad-hoc retrieval X Ma, J Guo, R Zhang, Y Fan, Y Li, X Cheng Proceedings of the 44th International ACM SIGIR Conference on Research and …, 2021 | 66 | 2021 |
| Pre-train a discriminative text encoder for dense retrieval via contrastive span prediction X Ma, J Guo, R Zhang, Y Fan, X Cheng Proceedings of the 45th International ACM SIGIR Conference on Research and …, 2022 | 49 | 2022 |
| A linguistic study on relevance modeling in information retrieval Y Fan, J Guo, X Ma, R Zhang, Y Lan, X Cheng Proceedings of the Web Conference 2021, 1053-1064, 2021 | 24 | 2021 |
| Instruction distillation makes large language models efficient zero-shot rankers W Sun, Z Chen, X Ma, L Yan, S Wang, P Ren, Z Chen, D Yin, Z Ren GenRec Workshop at CIKM 2023, 2023 | 15 | 2023 |
| Scattered or connected? an optimized parameter-efficient tuning approach for information retrieval X Ma, J Guo, R Zhang, Y Fan, X Cheng Proceedings of the 31st ACM International Conference on Information …, 2022 | 10 | 2022 |
| A contrastive pre-training approach to discriminative autoencoder for dense retrieval X Ma, R Zhang, J Guo, Y Fan, X Cheng Proceedings of the 31st ACM International Conference on Information …, 2022 | 10 | 2022 |
| The butterfly effect of model editing: Few edits can trigger large language models collapse W Yang, F Sun, X Ma, X Liu, D Yin, X Cheng Findings of the Association for Computational Linguistics ACL 2024, 2024 | 9 | 2024 |
| Pre-training with aspect-content text mutual prediction for multi-aspect dense retrieval X Sun, K Bi, J Guo, X Ma, Y Fan, H Shan, Q Zhang, Z Liu Proceedings of the 32nd ACM International Conference on Information and …, 2023 | 4 | 2023 |
| The Fall of ROME: Understanding the Collapse of LLMs in Model Editing W Yang, F Sun, J Tan, X Ma, D Su, D Yin, H Shen Findings of the Association for Computational Linguistics: EMNLP 2024, 4079–4087, 2024 | 1 | 2024 |
| Knowledge Graph Retrieval-Augmented Generation for LLM-based Recommendation S Wang, W Fan, Y Feng, X Ma, S Wang, D Yin arXiv preprint arXiv:2501.02226, 2025 | | 2025 |
| Sliding Windows Are Not the End: Exploring Full Ranking with Long-Context Large Language Models W Liu, X Ma, Y Zhu, Z Zhao, S Wang, D Yin, Z Dou arXiv preprint arXiv:2412.14574, 2024 | | 2024 |
| MAIR: A Massive Benchmark for Evaluating Instructed Retrieval W Sun, Z Shi, J Wu, L Yan, X Ma, Y Liu, M Cao, D Yin, Z Ren Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024 | | 2024 |
| JAILJUDGE: A Comprehensive Jailbreak Judge Benchmark with Multi-Agent Enhanced Explanation Evaluation Framework F Liu, Y Feng, Z Xu, L Su, X Ma, D Yin, H Liu arXiv preprint arXiv:2410.12855, 2024 | | 2024 |
Jiafeng GuoProfessor, Institute of Computing Techonology, CASVerified email at ict.ac.cn
