| Defense of word-level adversarial attacks via random substitution encoding Z Wang, H Wang International Conference on Knowledge Science, Engineering and Management …, 2020 | 33 | 2020 |
| Democratizing reasoning ability: Tailored learning from large language model Z Wang, S Huang, Y Liu, J Wang, M Song, Z Zhang, H Huang, F Wei, ... Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 27 | 2023 |
| CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models P Xia, Z Chen, J Tian, Y Gong, R Hou, Y Xu, Z Wu, Z Fan, Y Zhou, K Zhu, ... arXiv preprint arXiv:2406.06007, 2024 | 26 | 2024 |
| Enhancing Visual-Language Modality Alignment in Large Vision Language Models via Self-Improvement X Wang, J Chen, Z Wang, Y Zhou, Y Zhou, H Yao, T Zhou, T Goldstein, ... arXiv preprint arXiv:2405.15973, 2024 | 25 | 2024 |
| UECA-Prompt: Universal Prompt for Emotion Cause Analysis X Zheng, Z Liu, Z Zhang, Z Wang, J Wang Proceedings of the 29th international conference on computational linguistics, 2022 | 24 | 2022 |
| RMLM: A Flexible Defense Framework for Proactively Mitigating Word-level Adversarial Attacks Z Wang, Z Liu, X Zheng, Q Su, J Wang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 9 | 2023 |
| 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 | 7 | 2024 |
| Evaluating the Validity of Word-level Adversarial Attacks with Large Language Models H Zhou, Z Wang, H Wang, D Chen, W Mu, F Zhang Findings of the Association for Computational Linguistics ACL 2024, 4902-4922, 2024 | 5 | 2024 |
| CREAM: Consistency Regularized Self-Rewarding Language Models Z Wang, W He, Z Liang, X Zhang, C Bansal, Y Wei, W Zhang, H Yao The Thirteenth International Conference on Learning Representations, 2024 | 3 | 2024 |
| TrustRAG: Enhancing Robustness and Trustworthiness in RAG H Zhou, KH Lee, Z Zhan, Y Chen, Z Li, Z Wang, H Haddadi, E Yilmaz arXiv preprint arXiv:2501.00879, 2025 | 1 | 2025 |
| Verifiable Format Control for Large Language Model Generations Z Wang, J Jiang, H Zhou, W Zheng, X Zhang, C Bansal, H Yao Findings of 2025 Annual Conference of the Nations of the Americas Chapter of …, 2025 | | 2025 |
| MJ-VIDEO: Fine-Grained Benchmarking and Rewarding Video Preferences in Video Generation H Tong, Z Wang, Z Chen, H Ji, S Qiu, S Han, K Geng, Z Xue, Y Zhou, ... arXiv preprint arXiv:2502.01719, 2025 | | 2025 |
| A Coarse-to-Fine Training Paradigm for Dialogue Summarization Z Liu, Z Wang, J Wang International Conference on Artificial Neural Networks, 416-427, 2022 | | 2022 |
| 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, ... The Thirteenth International Conference on Learning Representations, 0 | | |
