Hyper-Path-Based Representation Learning for Hyper-Networks. - Jie Huang 009; Xin Liu 039; Yangqiu Song (CIKM, 2019)

Hyper2vec: Biased Random Walk for Hyper-network Embedding. - Jie Huang 009; Chuan Chen 001; Fanghua Ye 001; Jiajing Wu; Zibin Zheng; Guohui Ling (DASFAA (3), 2019)

Exploring Semantic Capacity of Terms. - Jie Huang 009; Zilong Wang 002; Kevin Chang 001; Wen-Mei Hwu; Jinjun Xiong (EMNLP (1), 2020)

A Game Generative Network Framework with its Application to Relationship Inference. - Jie Huang 009; Fanghua Ye 001; Xu Chen (CoRR, 2020)

Nonuniform Hyper-Network Embedding with Dual Mechanism. - Jie Huang 009; Chuan Chen 001; Fanghua Ye 001; Weibo Hu; Zibin Zheng (ACM Trans. Inf. Syst., 2020)

Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. - Jie Huang 009; Kevin Chang 001; Jinjun Xiong; Wen-Mei Hwu (ACL/IJCNLP (1), 2021)

CDM: Combining Extraction and Generation for Definition Modeling. - Jie Huang 009; Hanyin Shao; Kevin Chen-Chuan Chang (CoRR, 2021)

Open Relation Modeling: Learning to Define Relations between Entities. - Jie Huang 009; Kevin Chang 001; Jinjun Xiong; Wen-Mei Hwu (ACL (Findings), 2022)

Domain Representative Keywords Selection: A Probabilistic Approach. - Pritom Saha Akash; Jie Huang 009; Kevin Chen-Chuan Chang; Yunyao Li 001; Lucian Popa 001; ChengXiang Zhai (ACL (Findings), 2022)

MetaASSIST: Robust Dialogue State Tracking with Meta Learning. - Fanghua Ye 001; Xi Wang 012; Jie Huang 009; Shenghui Li; Samuel Stern; Emine Yilmaz (EMNLP, 2022)

Are Large Pre-Trained Language Models Leaking Your Personal Information? - Jie Huang 009; Hanyin Shao; Kevin Chen-Chuan Chang (EMNLP (Findings), 2022)

Understanding Jargon: Combining Extraction and Generation for Definition Modeling. - Jie Huang 009; Hanyin Shao; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (EMNLP, 2022)

DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. - Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (EMNLP, 2022)

Coordinated Topic Modeling. - Pritom Saha Akash; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP, 2022)

DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. - Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (CoRR, 2022)

VER: Learning Natural Language Representations for Verbalizing Entities and Relations. - Jie Huang 009; Kevin Chen-Chuan Chang (CoRR, 2022)

Towards Reasoning in Large Language Models: A Survey. - Jie Huang 009; Kevin Chen-Chuan Chang (ACL (Findings), 2023)

Can Language Models Be Specific? How? - Jie Huang 009; Kevin Chen-Chuan Chang; Jinjun Xiong; Wen-Mei Hwu (ACL (Findings), 2023)

DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. - Chenzhengyi Liu; Jie Huang 009; Kerui Zhu; Kevin Chen-Chuan Chang (ACL (1), 2023)

Text Fact Transfer. - Nishant Balepur; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP, 2023)

Expository Text Generation: Imitate, Retrieve, Paraphrase. - Nishant Balepur; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP, 2023)

VER: Unifying Verbalizing Entities and Relations. - Jie Huang 009; Kevin Chang 001 (EMNLP (Findings), 2023)

Multi-step Jailbreaking Privacy Attacks on ChatGPT. - Haoran Li 003; Dadi Guo; Wei Fan 001; Mingshi Xu; Jie Huang 009; Fanpu Meng; Yangqiu Song (EMNLP (Findings), 2023)

Ask To The Point: Open-Domain Entity-Centric Question Generation. - Yuxiang Liu; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP (Findings), 2023)

Descriptive Knowledge Graph in Biomedical Domain. - Kerui Zhu; Jie Huang 009; Kevin Chen-Chuan Chang (EMNLP (Demos), 2023)

Why Does ChatGPT Fall Short in Answering Questions Faithfully? - Shen Zheng 001; Jie Huang 009; Kevin Chen-Chuan Chang (CoRR, 2023)

CCGen: Explainable Complementary Concept Generation in E-Commerce. - Jie Huang 009; Yifan Gao 001; Zheng Li 018; Jingfeng Yang 001; Yangqiu Song; Chao Zhang 014; Zining Zhu 001; Haoming Jiang; Kevin Chen-Chuan Chang; Bing Yin (CoRR, 2023)

Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. - Nishant Balepur; Jie Huang 009; Samraj Moorjani; Hari Sundaram; Kevin Chen-Chuan Chang (CoRR, 2023)

RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. - Jie Huang 009; Wei Ping; Peng Xu 008; Mohammad Shoeybi; Kevin Chen-Chuan Chang; Bryan Catanzaro (CoRR, 2023)

Situated Natural Language Explanations. - Zining Zhu 001; Haoming Jiang; Jingfeng Yang 001; Sreyashi Nag; Chao Zhang 014; Jie Huang 009; Yifan Gao 001; Frank Rudzicz; Bing Yin (CoRR, 2023)

Configuration Validation with Large Language Models. - Xinyu Lian; Yinfang Chen; Runxiang Cheng; Jie Huang 009; Parth Thakkar; Tianyin Xu (CoRR, 2023)

Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling. - Pritom Saha Akash; Jie Huang 009; Kevin Chen-Chuan Chang (CoRR, 2023)

Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. - Hanyin Shao; Jie Huang 009; Shen Zheng 001; Kevin Chang 001 (EACL (Findings), 2024)

Large Language Models Cannot Self-Correct Reasoning Yet. - Jie Huang 009; Xinyun Chen; Swaroop Mishra; Huaixiu Steven Zheng; Adams Wei Yu; Xinying Song; Denny Zhou (ICLR, 2024)

Citation: A Key to Building Responsible and Accountable Large Language Models. - Jie Huang 009; Kevin Chang 001 (NAACL-HLT (Findings), 2024)

Cascade Speculative Drafting for Even Faster LLM Inference. - Ziyi Chen 003; Xiaocong Yang; Jiacheng Lin; Chenkai Sun; Kevin Chen-Chuan Chang; Jie Huang 009 (NeurIPS, 2024)

Long-form factuality in large language models. - Jerry Wei; Chengrun Yang; Xinying Song; Yifeng Lu; Nathan Hu; Jie Huang 009; Dustin Tran; Daiyi Peng; Ruibo Liu; Da Huang; Cosmo Du; Quoc V. Le (NeurIPS, 2024)

Large Language Models as Configuration Validators. - Xinyu Lian; Yinfang Chen; Runxiang Cheng; Jie Huang 009; Parth Thakkar; Minjia Zhang; Tianyin Xu (ICSE, 2025)