| Towards Reasoning in Large Language Models J Huang, KCC Chang Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023 | 405* | 2023 |
| Multi-step Jailbreaking Privacy Attacks on ChatGPT H Li, D Guo, W Fan, M Xu, J Huang, F Meng, Y Song Findings of the Association for Computational Linguistics: EMNLP 2023, 2023 | 220 | 2023 |
| Large Language Models Cannot Self-Correct Reasoning Yet J Huang, X Chen, S Mishra, HS Zheng, AW Yu, X Song, D Zhou The Twelfth International Conference on Learning Representations, 2024 | 150 | 2024 |
| Are Large Pre-Trained Language Models Leaking Your Personal Information? J Huang, H Shao, KCC Chang Findings of the Association for Computational Linguistics: EMNLP 2022, 2022 | 104 | 2022 |
| Why Does ChatGPT Fall Short in Providing Truthful Answers? S Zheng, J Huang, KCC Chang NeurIPS 2023 Workshop ICBINB: Failure Modes in the Age of Foundation Models, 2023 | 88* | 2023 |
| Hyper2vec: Biased random walk for hyper-network embedding J Huang, C Chen, F Ye, J Wu, Z Zheng, G Ling International Conference on Database Systems for Advanced Applications, 2019 | 36 | 2019 |
| Hyper-path-based representation learning for hyper-networks J Huang, X Liu, Y Song Proceedings of the 28th ACM International Conference on Information and …, 2019 | 31 | 2019 |
| Citation: A key to building responsible and accountable large language models J Huang, KCC Chang NAACL 2024 Findings, 2024 | 27 | 2024 |
| Raven: In-context learning with retrieval augmented encoder-decoder language models J Huang, W Ping, P Xu, M Shoeybi, KCC Chang, B Catanzaro COLM 2024, 2024 | 22 | 2024 |
| Understanding Jargon: Combining Extraction and Generation for Definition Modeling J Huang, H Shao, KCC Chang Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 18* | 2022 |
| Nonuniform hyper-network embedding with dual mechanism J Huang, C Chen, F Ye, W Hu, Z Zheng ACM Transactions on Information Systems (TOIS) 38 (3), 1-18, 2020 | 17 | 2020 |
| Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage H Shao, J Huang, S Zheng, KCC Chang EACL 2024 Findings, 2024 | 14 | 2024 |
| Open Relation Modeling: Learning to Define Relations between Entities J Huang, KCC Chang, J Xiong, W Hwu Findings of the Association for Computational Linguistics: ACL 2022, 2022 | 14 | 2022 |
| Cascade speculative drafting for even faster llm inference Z Chen, X Yang, J Lin, C Sun, KCC Chang, J Huang arXiv preprint arXiv:2312.11462, 2023 | 13 | 2023 |
| DEER: Descriptive Knowledge Graph for Explaining Entity Relationships J Huang, K Zhu, KCC Chang, J Xiong, W Hwu Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 12 | 2022 |
| MetaASSIST: Robust Dialogue State Tracking with Meta Learning F Ye, X Wang, J Huang, S Li, S Stern, E Yilmaz Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 8 | 2022 |
| Configuration Validation with Large Language Models X Lian, Y Chen, R Cheng, J Huang, P Thakkar, M Zhang, T Xu ICSE 2025, 2025 | 7 | 2025 |
| Long-form factuality in large language models J Wei, C Yang, X Song, Y Lu, N Hu, J Huang, D Tran, D Peng, R Liu, ... arXiv preprint arXiv:2403.18802, 2024 | 7* | 2024 |
| DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships C Liu, J Huang, K Zhu, KCC Chang ACL 2023, 2023 | 7 | 2023 |
| Expository Text Generation: Imitate, Retrieve, Paraphrase N Balepur, J Huang, KCC Chang EMNLP 2023, 2023 | 6 | 2023 |
Kevin Chen-Chuan ChangUniversity of Illinois at Urbana-ChampaignVerified email at illinois.edu
