| Jointmatch: A unified approach for diverse and collaborative pseudo-labeling to semi-supervised text classification HP Zou, C Caragea The 2023 Conference on Empirical Methods in Natural Language Processing, 2023 | 16 | 2023 |
| Llms assist nlp researchers: Critique paper (meta-) reviewing J Du, Y Wang, W Zhao, Z Deng, S Liu, R Lou, HP Zou, PN Venkit, ... The 2024 Conference on Empirical Methods in Natural Language Processing, 2024 | 15 | 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 | 14 | 2024 |
| Crisismatch: Semi-supervised few-shot learning for fine-grained disaster tweet classification HP Zou, Y Zhou, C Caragea, D Caragea The 20th Annual Global Conference on Information Systems for Crisis Response …, 2023 | 11* | 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 The 62nd Annual Meeting of the Association for Computational Linguistics …, 2024 | 10 | 2024 |
| Decrisismb: Debiased semi-supervised learning for crisis tweet classification via memory bank HP Zou, Y Zhou, W Zhang, C Caragea The 2023 Conference on Empirical Methods in Natural Language Processing …, 2023 | 9 | 2023 |
| 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 The 2024 Conference of the North American Chapter of the Association for …, 2024 | 8 | 2024 |
| Improvement of Gmapping algorithm based on non-continuous system T Zheng, C Meng, P Zou, J Wang The 2019 Chinese Control And Decision Conference, 5058-5063, 2019 | 6 | 2019 |
| 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 | 4 | 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 The 33st ACM International Conference on Information & Knowledge Management, 2024 | 3 | 2024 |
| Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks Y Zhou, HP Zou, B Di Eugenio, Y Zhang The 2024 Conference on Empirical Methods in Natural Language Processing, 2024 | 3 | 2024 |
| Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges V Samuel, Y Zhou, HP Zou The 31st International Conference on Computational Linguistics, 2024 | 2 | 2024 |
| Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey C Deng, Y Duan, X Jin, H Chang, Y Tian, H Liu, Y Wang, K Gao, HP Zou, ... arXiv preprint arXiv:2406.05392, 2024 | 1 | 2024 |
| Cold-Start Recommendation towards the Era of Large Language Models (LLMs): A Comprehensive Survey and Roadmap W Zhang, Y Bei, L Yang, HP Zou, P Zhou, A Liu, Y Li, H Chen, J Wang, ... arXiv preprint arXiv:2501.01945, 2025 | | 2025 |
| COOD: Concept-based Zero-shot OOD Detection Z Liu, Y Nian, HP Zou, L Li, X Hu, Y Zhao arXiv preprint arXiv:2411.13578, 2024 | | 2024 |
| TABGEN-RAG: Iterative Retrieval for Tabular Data Generation with Large Language Models L Fang, A Liu, H Zhang, HP Zou, W Zhang, SY Philip NeurIPS 2024 Third Table Representation Learning Workshop, 0 | | |
Cornelia CarageaUniversity of Illinois at ChicagoΗ διεύθυνση ηλεκτρονικού ταχυδρομείου έχει επαληθευτεί στον τομέα uic.edu