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 | 389 | 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 | 19 | 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, ... ACL 2024 (Findings), 2024 | 1 | 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 ACL 2024 (Main Conference), 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 |