| Chain of history: Learning and forecasting with llms for temporal knowledge graph completion R Luo, T Gu, H Li, J Li, Z Lin, J Li, Y Yang arXiv preprint arXiv:2401.06072, 2024 | 7 | 2024 |
| Collie: Collaborative training of large language models in an efficient way K Lv, S Zhang, T Gu, S Xing, J Hong, K Chen, X Liu, Y Yang, H Guo, T Liu, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 4 | 2023 |
| MLLMGuard: A Multi-dimensional Safety Evaluation Suite for Multimodal Large Language Models T Gu, Z Zhou, K Huang, D Liang, Y Wang, H Zhao, Y Yao, X Qiao, K Wang, ... arXiv preprint arXiv:2406.07594, 2024 | 2 | 2024 |
| MEOW: MEMOry Supervised LLM Unlearning Via Inverted Facts T Gu, K Huang, R Luo, Y Yao, Y Yang, Y Teng, Y Wang arXiv preprint arXiv:2409.11844, 2024 | | 2024 |
| ESC-Eval: Evaluating Emotion Support Conversations in Large Language Models H Zhao, L Li, S Chen, S Kong, J Wang, K Huang, T Gu, Y Wang, D Liang, ... arXiv preprint arXiv:2406.14952, 2024 | | 2024 |
