| A survey on hallucination in large language models: Principles, taxonomy, challenges, and open questions L Huang, W Yu, W Ma, W Zhong, Z Feng, H Wang, Q Chen, W Peng, ... ACM Transactions on Information Systems (TOIS), 2023 | 859* | 2023 |
| Trends in integration of knowledge and large language models: A survey and taxonomy of methods, benchmarks, and applications Z Feng, W Ma, W Yu, L Huang, H Wang, Q Chen, W Peng, X Feng, B Qin arXiv preprint arXiv:2311.05876, 2023 | 32 | 2023 |
| Investigating and mitigating the multimodal hallucination snowballing in large vision-language models W Zhong, X Feng, L Zhao, Q Li, L Huang, Y Gu, W Ma, Y Xu, B Qin ACL 2024 (Main Conference), 2024 | 7 | 2024 |
| Learning fine-grained grounded citations for attributed large language models L Huang, X Feng, W Ma, Y Gu, W Zhong, X Feng, W Yu, W Peng, D Tang, ... ACL 2024 (Findings), 2024 | 6 | 2024 |
| Advancing Large Language Model Attribution through Self-Improving L Huang, X Feng, W Ma, L Zhao, Y Fan, W Zhong, D Xu, Q Yang, H Liu, ... EMNLP 2024 (Main Conference), 2024 | 2 | 2024 |
| XTransplant: A Probe into the Upper Bound Performance of Multilingual Capability and Culture Adaptability in LLMs via Mutual Cross-lingual Feed-forward Transplantation Y Ye, X Feng, X Feng, L Qin, Y Huang, L Huang, W Ma, Z Zhang, Y Lu, ... arXiv preprint arXiv:2412.12686, 2024 | | 2024 |
| GlobeSumm: A Challenging Benchmark Towards Unifying Multi-lingual, Cross-lingual and Multi-document News Summarization Y Ye, X Feng, X Feng, W Ma, L Qin, D Xu, Q Yang, H Liu, B Qin EMNLP 2024 (Main Conference), 2024 | | 2024 |
| Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive Analysis W Ma, X Feng, W Zhong, L Huang, Y Ye, X Feng, B Qin COLING 2025, 2024 | | 2024 |
Lei HuangHarbin Institute of TechnologyVerified email at ir.hit.edu.cn
