Towards class-balanced privacy preserving heterogeneous model aggregation X Pang, Z Wang, Z He, P Sun, M Luo, J Ren, K Ren IEEE Transactions on Dependable and Secure Computing 20 (3), 2421-2432, 2022 | 6 | 2022 |
A Survey on Benchmarks of Multimodal Large Language Models J Li, W Lu, H Fei, M Luo, M Dai, M Xia, Y Jin, Z Gan, D Qi, C Fu, Y Tai, ... arXiv preprint arXiv:2408.08632, 2024 | 5 | 2024 |
NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations M Luo, H Zhang, S Wu, B Li, H Han, H Fei Proceedings of the 18th International Workshop on Semantic Evaluation …, 2024 | 4 | 2024 |
Panosent: A panoptic sextuple extraction benchmark for multimodal conversational aspect-based sentiment analysis M Luo, H Fei, B Li, S Wu, Q Liu, S Poria, E Cambria, ML Lee, W Hsu Proceedings of the 32nd ACM International Conference on Multimedia, 7667-7676, 2024 | 3 | 2024 |
PAD: Personalized Alignment at Decoding-Time R Chen, X Zhang, M Luo, W Chai, Z Liu arXiv preprint arXiv:2410.04070, 2024 | 2 | 2024 |
Effi-Code: Unleashing Code Efficiency in Language Models D Huang, G Zeng, J Dai, M Luo, H Weng, Y Qing, H Cui, Z Guo, J Zhang arXiv preprint arXiv:2410.10209v1, 2024 | 1 | 2024 |
Fine-grained Structural Hallucination Detection for Unified Visual Comprehension and Generation in Multimodal LLM H Fei, M Luo, J Xu, S Wu, W Ji, ML Lee, W Hsu Proceedings of the 1st ACM Multimedia Workshop on Multi-modal Misinformation …, 2024 | | 2024 |