| 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 | 14 | 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 ACM MM 2024 (oral), 7667-7676, 2024 | 7 | 2024 |
| Towards class-balanced privacy preserving heterogeneous model aggregation X Pang, Z Wang, Z He, P Sun, M Luo, J Ren, K Ren IEEE TDSC, 2022 | 6 | 2022 |
| 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 SemEval-2024, 2024 | 5 | 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 | 2 | 2024 |
| PAD: Personalized Alignment at Decoding-Time R Chen, X Zhang, M Luo, W Chai, Z Liu ICLR 2025, 2024 | 2 | 2024 |
| Aristotle: Mastering Logical Reasoning with A Logic-Complete Decompose-Search-Resolve Framework J Xu, H Fei, M Luo, Q Liu, L Pan, WY Wang, P Nakov, ML Lee, W Hsu arXiv preprint arXiv:2412.16953, 2024 | | 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 ACM MM 2024 MIS Workshop, 2024 | | 2024 |
| Towards Multimodal Empathetic Response Generation: A Rich Text-Speech-Vision Avatar-based Benchmark H Zhang, Z Meng, M Luo, H Han, L Liao, E Cambria, H Fei WWW 2025, 0 | | |
Hao FeiNational University of Singapore在 nus.edu.sg 的电子邮件经过验证
