Jie Huang

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 46

Top Topics

Answering Questions

Top Venues

EMNLP (Findings)

Publications

Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chang
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. EACL (Findings) (2024)
Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou
Large Language Models Cannot Self-Correct Reasoning Yet. ICLR (2024)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? ACL (Findings) (2023)
Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
Ask To The Point: Open-Domain Entity-Centric Question Generation. EMNLP (Findings) (2023)
Jie Huang, Kevin Chen-Chuan Chang
Towards Reasoning in Large Language Models: A Survey. ACL (Findings) (2023)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Text Fact Transfer. CoRR (2023)
Jie Huang, Kevin Chen-Chuan Chang
Citation: A Key to Building Responsible and Accountable Large Language Models. CoRR (2023)
Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Jie Huang, Kevin Chen-Chuan Chang
Cascade Speculative Drafting for Even Faster LLM Inference. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Text Fact Transfer. EMNLP (2023)
Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
Why Does ChatGPT Fall Short in Answering Questions Faithfully? CoRR (2023)
Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. CoRR (2023)
Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
Descriptive Knowledge Graph in Biomedical Domain. EMNLP (Demos) (2023)
Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang
Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. CoRR (2023)
Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. ACL (1) (2023)
Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
Situated Natural Language Explanations. CoRR (2023)
Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP (2023)
Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
Ask To The Point: Open-Domain Entity-Centric Question Generation. CoRR (2023)
Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR (2023)
Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
Descriptive Knowledge Graph in Biomedical Domain. CoRR (2023)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
Domain Representative Keywords Selection: A Probabilistic Approach. ACL (Findings) (2022)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP (2022)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
Coordinated Topic Modeling. CoRR (2022)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
Domain Representative Keywords Selection: A Probabilistic Approach. CoRR (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
Are Large Pre-Trained Language Models Leaking Your Personal Information? CoRR (2022)
Jie Huang, Kevin Chen-Chuan Chang
VER: Learning Natural Language Representations for Verbalizing Entities and Relations. CoRR (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP (Findings) (2022)
Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz
MetaASSIST: Robust Dialogue State Tracking with Meta Learning. EMNLP (2022)
Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) (2022)
Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
Coordinated Topic Modeling. EMNLP (2022)
Jie Huang, Kevin Chen-Chuan Chang
Towards Reasoning in Large Language Models: A Survey. CoRR (2022)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
Can Language Models Be Specific? How? CoRR (2022)
Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR (2022)
Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
CDM: Combining Extraction and Generation for Definition Modeling. CoRR (2021)
Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. ACL/IJCNLP (1) (2021)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu
Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. CoRR (2021)
Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei W. Hwu
Open Relation Modeling: Learning to Define Relations between Entities. CoRR (2021)
Jie Huang, Fanghua Ye, Xu Chen
A Game Generative Network Framework with its Application to Relationship Inference. CoRR (2020)
Jie Huang, Chuan Chen, Fanghua Ye, Weibo Hu, Zibin Zheng
Nonuniform Hyper-Network Embedding with Dual Mechanism. ACM Trans. Inf. Syst. 38 (3) (2020)
Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong
Exploring Semantic Capacity of Terms. EMNLP (1) (2020)
Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong
Exploring Semantic Capacity of Terms. CoRR (2020)
Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui Ling
Hyper2vec: Biased Random Walk for Hyper-network Embedding. DASFAA (3) (2019)
Jie Huang, Xin Liu, Yangqiu Song
Hyper-Path-Based Representation Learning for Hyper-Networks. CoRR (2019)
Jie Huang, Xin Liu, Yangqiu Song
Hyper-Path-Based Representation Learning for Hyper-Networks. CIKM (2019)