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, ... arXiv preprint arXiv:2311.05232, 2023 | 435 | 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 | 21 | 2023 |
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, ... arXiv preprint arXiv:2408.04568, 2024 | 3 | 2024 |
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 arXiv preprint arXiv:2407.00569, 2024 | | 2024 |
Rethinking Entity-level Unlearning for Large Language Models W Ma, X Feng, W Zhong, L Huang, Y Ye, B Qin arXiv preprint arXiv:2406.15796, 2024 | | 2024 |