| HALC: Object Hallucination Reduction via Adaptive Focal-Contrast Decoding Z Chen, Z Zhao, H Luo, H Yao, B Li, J Zhou International Conference on Machine Learning (ICML), 2024 | 35 | 2024 |
| Calibrated Self-Rewarding Vision Language Models Y Zhou, Z Fan, D Cheng, S Yang, Z Chen, C Cui, X Wang, Y Li, L Zhang, ... Advances in Neural Information Processing Systems (NeurIPS), 2024 | 17 | 2024 |
| AutoPRM: Automating Procedural Supervision for Multi-Step Reasoning via Controllable Question Decomposition Z Chen, Z Zhao, Z Zhu, R Zhang, X Li, B Raj, H Yao North American Chapter of the Association for Computational Linguistics (NAACL), 2024 | 15 | 2024 |
| AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases Z Chen, Z Xiang, C Xiao, D Song, B Li Advances in Neural Information Processing Systems (NeurIPS), 2024 | 13* | 2024 |
| Can Editing LLMs Inject Harm? C Chen, B Huang, Z Li, Z Chen, S Lai, X Xu, JC Gu, J Gu, H Yao, C Xiao, ... ICML 2024 Workshop on Trustworthy Multi-modal Foundation Models and AI …, 2024 | 11 | 2024 |
| PANDORA: Detailed LLM Jailbreaking via Collaborated Phishing Agents with Decomposed Reasoning Z Chen, Z Zhao, W Qu, Z Wen, Z Han, Z Zhu, J Zhang, H Yao ICLR 2024 Workshop on Secure and Trustworthy Large Language Models, 2024 | 5 | 2024 |
| RankCLIP: Ranking-Consistent Language-Image Pretraining Y Zhang, Z Zhao, Z Chen, Z Feng, Z Ding, Y Sun arXiv preprint arXiv:2404.09387, 2024 | 4 | 2024 |
| InMu-Net: Advancing Multi-modal Intent Detection via Information Bottleneck and Multi-sensory Processing Z Zhu, X Cheng, Z Chen, Y Chen, Y Zhang, X Wu, Y Zheng, B Xing ACM Multimedia 2024, 2024 | 2 | 2024 |
| EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving S Wang, Z Chen, Z Zhao, C Mao, Y Zhou, J He, AS Hu 8th Annual Conference on Robot Learning (CoRL), 2024 | 1 | 2024 |
| Preference Optimization with Multi-Sample Comparisons C Wang, Z Zhao, C Zhu, KA Sankararaman, M Valko, X Cao, Z Chen, ... arXiv preprint arXiv:2410.12138, 2024 | 1 | 2024 |
| MMIE: Massive Multimodal Interleaved Comprehension Benchmark for Large Vision-Language Models P Xia, S Han, S Qiu, Y Zhou, Z Wang, W Zheng, Z Chen, C Cui, M Ding, ... arXiv preprint arXiv:2410.10139, 2024 | 1 | 2024 |
| MJ-Bench: Is Your Multimodal Reward Model Really a Good Judge for Text-to-Image Generation? Z Chen, Y Du, Z Wen, Y Zhou, C Cui, Z Weng, H Tu, C Wang, Z Tong, ... arXiv preprint arXiv:2407.04842, 2024 | 1 | 2024 |
| Safe Reinforcement Learning via Hierarchical Adaptive Chance-Constraint Safeguards Z Chen, Z Zhao, T He, B Chen, X Zhao, L Gong, C Liu IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024 | 1* | 2024 |
| CLAS 2024: The Competition for LLM and Agent Safety Z Xiang, Y Zeng, M Kang, C Xu, J Zhang, Z Yuan, Z Chen, C Xie, F Jiang, ... Advances in Neural Information Processing Systems (NeurIPS), Competition Track, 2024 | 1 | 2024 |
| GRAPE: Generalizing Robot Policy via Preference Alignment Z Zhang, K Zheng, Z Chen, J Jang, Y Li, C Wang, M Ding, D Fox, H Yao arXiv preprint arXiv:2411.19309, 2024 | | 2024 |
| DGLF: A Dual Graph-based Learning Framework for Multi-modal Sarcasm Detection Z Zhu, K Shen, Z Chen, Y Zhang, Y Chen, X Jiao, Z Wan, S Xie, W Liu, ... Empirical Methods in Natural Language Processing (EMNLP), 2900-2912, 2024 | | 2024 |
| Fine-Grained Verifiers: Preference Modeling as Next-token Prediction in Vision-Language Alignment C Cui, A Zhang, Y Zhou, Z Chen, G Deng, H Yao, TS Chua arXiv preprint arXiv:2410.14148, 2024 | | 2024 |
| AnyPrefer: An Automatic Framework for Preference Data Synthesis Y Zhou, Z Wang, T Wang, S Xing, P Xia, B Li, K Zheng, Z Zhang, Z Chen, ... Neurips Safe Generative AI Workshop 2024, 2024 | | 2024 |
Huaxiu YaoAssistant Professor of Computer Science and Data Science, UNC Chapel Hill在 cs.unc.edu 的电子邮件经过验证
