Publications

Latest

• Jie Huang. On the Capabilities and Risks of Large Language Models. Ph.D. Dissertation. [pdf]
• Jie Huang*, Xinyun Chen*, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou. Large Language Models Cannot Self-Correct Reasoning Yet. The Twelfth International Conference on Learning Representations (ICLR). 2024. [pdf]
• Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin C.C. Chang, Bryan Catanzaro. RAVEN: In-Context Learning with Retrieval-Augmented Encoder-Decoder Language Models. The 1st Conference on Language Modeling (COLM). 2024. [pdf]
• Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin C.C. Chang, Jie Huang. Cascade Speculative Drafting for Even Faster LLM Inference. The 38th Conference on Neural Information Processing Systems (NeurIPS). 2024. [pdf]
• Jerry Wei*, Chengrun Yang*, Xinying Song*, Yifeng Lu*, Nathan Hu, Jie Huang, Dustin Tran, Daiyi Peng, Ruibo Liu, Da Huang, Cosmo Du, Quoc V. Le. Long-form Factuality in Large Language Models. The 38th Conference on Neural Information Processing Systems (NeurIPS). 2024. [pdf]
• Xinyu Lian*, Yinfang Chen*, Runxiang Cheng, Jie Huang, Parth Thakkar, Minjia Zhang, Tianyin Xu. Configuration Validation with Large Language Models. The 47th IEEE/ACM International Conference on Software Engineering (ICSE). 2025. [pdf]
• Yifan Song, Da Yin, Xiang Yue, Jie Huang, Sujian Li, Bill Yuchen Lin. Trial and Error: Exploration-Based Trajectory Optimization of LLM Agents. The 62nd Annual Meeting of the Association for Computational Linguistics (ACL). 2024. [pdf]
• Jie Huang, Kevin C.C. Chang. Citation: A Key to Building Responsible and Accountable Large Language Models. Findings of the 2024 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL Findings). 2024. [pdf]
• Hanyin Shao*, Jie Huang*, Shen Zheng, Kevin C.C. Chang. Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. Findings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (EACL Findings). 2024. [pdf]

2023

• Nishant Balepur, Jie Huang, Kevin C.C. Chang. Expository Text Generation: Imitate, Retrieve, Paraphrase. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2023. [pdf]
• Nishant Balepur, Jie Huang, Kevin C.C. Chang. Text Fact Transfer. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2023. [pdf]
• Jie Huang, Kevin C.C. Chang. VER: Unifying Verbalizing Entities and Relations. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2023. [pdf]
• Haoran Li*, Dadi Guo*, Wei Fan, Mingshi Xu, Jie Huang, Fanpu Meng, Yangqiu Song. Multi-step Jailbreaking Privacy Attacks on ChatGPT. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2023. [pdf]
• Yuxiang Liu, Jie Huang, Kevin C.C. Chang. Ask To The Point: Open-Domain Entity-Centric Question Generation. Findings of The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2023. [pdf]
• Kerui Zhu, Jie Huang, Kevin C.C. Chang. Descriptive Knowledge Graph in Biomedical Domain. The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP Demo Track). 2023. [pdf]
• Chenzhengyi Liu*, Jie Huang*, Kerui Zhu, Kevin C.C. Chang. DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. The 61st Annual Meeting of the Association for Computational Linguistics (ACL). 2023. [pdf] [code] [slides]
• Jie Huang, Kevin C.C. Chang, Jinjun Xiong, Wen-mei Hwu. Can Language Models Be Specific? How?. Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL Findings). 2023. [pdf] [code]
• Jie Huang, Kevin C.C. Chang. Towards Reasoning in Large Language Models: A Survey. Findings of the 61st Annual Meeting of the Association for Computational Linguistics (ACL Findings). 2023. [pdf] [paperlist] [slides]

2022

• Jie Huang*, Kerui Zhu*, Kevin C.C. Chang, Jinjun Xiong, Wen-mei Hwu. DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [pdf] [code]
• Jie Huang, Hanyin Shao, Kevin C.C. Chang, Jinjun Xiong, Wen-mei Hwu. Understanding Jargon: Combining Extraction and Generation for Definition Modeling. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [pdf] [code]
• Jie Huang*, Hanyin Shao*, Kevin C.C. Chang. Are Large Pre-Trained Language Models Leaking Your Personal Information?. Findings of the 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings). 2022. [pdf] [code] [slides] [media coverage 1] [2]
• Pritom Saha Akash, Jie Huang, Kevin C.C. Chang. Coordinated Topic Modeling. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [pdf] [code]
• Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz. MetaASSIST: Robust Dialogue State Tracking with Meta Learning. The 2022 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2022. [pdf] [code]
• Jie Huang, Kevin C.C. Chang, Jinjun Xiong, Wen-mei Hwu. Open Relation Modeling: Learning to Define Relations between Entities. Findings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL Findings). 2022. [pdf] [code] [slides]
• Pritom Saha Akash, Jie Huang, Kevin C.C. Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai. Domain Representative Keywords Selection: A Probabilistic Approach. Findings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL Findings). 2022. [pdf] [code]

2021

• Jie Huang, Kevin C.C. Chang, Jinjun Xiong, Wen-mei Hwu. Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL). 2021. [pdf] [code] [slides]

2020

• Jie Huang*, Zilong Wang*, Kevin C.C. Chang, Wen-mei Hwu, Jinjun Xiong. Exploring Semantic Capacity of Terms. The 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP). 2020. [pdf] [code] [slides]
• Jie Huang, Chuan Chen, Fanghua Ye, Weibo Hu, Zibin Zheng. Nonuniform Hyper-Network Embedding with Dual Mechanism. ACM Transactions on Information Systems (TOIS). 2020. [pdf] [code]

2019

• Jie Huang, Xin Liu, Yangqiu Song. Hyper-Path-Based Representation Learning for Hyper-Networks. The 28th ACM International Conference on Information and Knowledge Management (CIKM). 2019. [pdf] [code] [slides]