| Jointmatch: A unified approach for diverse and collaborative pseudo-labeling to semi-supervised text classification HP Zou, C Caragea Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 12 | 2023 |
| Decrisismb: Debiased semi-supervised learning for crisis tweet classification via memory bank HP Zou, Y Zhou, W Zhang, C Caragea Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 8 | 2023 |
| Improvement of Gmapping algorithm based on non-continuous system T Zheng, C Meng, P Zou, J Wang 2019 Chinese Control And Decision Conference (CCDC), 5058-5063, 2019 | 6 | 2019 |
| Crisismatch: Semi-supervised few-shot learning for fine-grained disaster tweet classification HP Zou, Y Zhou, C Caragea, D Caragea arXiv preprint arXiv:2310.14627, 2023 | 4 | 2023 |
| Semi-supervised few-shot learning for fine-grained disaster tweet classification HP Zou, C Caragea, Y Zhou, D Caragea Proceedings of the 20th International ISCRAM Conference, 2023 | 4 | 2023 |
| ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction HP Zou, V Samuel, Y Zhou, W Zhang, L Fang, Z Song, PS Yu, C Caragea Findings of the Association for Computational Linguistics ACL 2024, 2024 | 3 | 2024 |
| EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM HP Zou, GH Yu, Z Fan, D Bu, H Liu, P Dai, D Jia, C Caragea Proceedings of the 2024 Conference of the North American Chapter of the …, 2024 | 3 | 2024 |
| Llms assist nlp researchers: Critique paper (meta-) reviewing J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, HP Zou, PN Venkit, ... arXiv preprint arXiv:2406.16253, 2024 | 2 | 2024 |
| PersonaGym: Evaluating Persona Agents and LLMs V Samuel, HP Zou, Y Zhou, S Chaudhari, A Kalyan, T Rajpurohit, ... arXiv preprint arXiv:2407.18416, 2024 | 1 | 2024 |
| Mixed Supervised Graph Contrastive Learning for Recommendation W Zhang, L Yang, Z Song, HP Zou, K Xu, Y Zhu, PS Yu arXiv preprint arXiv:2404.15954, 2024 | 1 | 2024 |
| Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation W Zhang, L Yang, Z Song, HP Zou, K Xu, L Fang, PS Yu Proceedings of the 33st ACM International Conference on Information …, 2024 | | 2024 |
| Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks Y Zhou, HP Zou, B Di Eugenio, Y Zhang arXiv preprint arXiv:2407.00869, 2024 | | 2024 |
| Crisismatch: Semi-supervised few-shot learning for fine-grained disaster tweet classification HP Zou, Y Zhou, C Caragea, D Caragea arXiv preprint arXiv:2310.14627, 2023 | | 2023 |
Cornelia CarageaUniversity of Illinois at Chicago在 uic.edu 的电子邮件经过验证
