Jie Huang - RankMe

57 papers A* 10A 1Journal 31Unranked 15

Year	Rank	Type	Title / Venue / Authors
2025	A*	`conf`	Large Language Models as Configuration Validators. ICSE Xinyu Lian, Yinfang Chen, Runxiang Cheng, Jie Huang, Parth Thakkar, Minjia Zhang, Tianyin Xu
2024	A*	`conf`	Cascade Speculative Drafting for Even Faster LLM Inference. NeurIPS Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Kevin Chen-Chuan Chang, Jie Huang
2024	—	`conf`	Citation: A Key to Building Responsible and Accountable Large Language Models. NAACL-HLT (Findings) Jie Huang, Kevin Chang
2024	A*	`conf`	Large Language Models Cannot Self-Correct Reasoning Yet. ICLR Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou
2024	A*	`conf`	Long-form factuality in large language models. NeurIPS 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
2024	—	`conf`	Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. EACL (Findings) Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chang
2023	—	`conf`	Ask To The Point: Open-Domain Entity-Centric Question Generation. EMNLP (Findings) Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Ask To The Point: Open-Domain Entity-Centric Question Generation. CoRR Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin
2023	—	`conf`	Can Language Models Be Specific? How? ACL (Findings) Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2023	J	`jnl`	Cascade Speculative Drafting for Even Faster LLM Inference. CoRR Ziyi Chen, Xiaocong Yang, Jiacheng Lin, Chenkai Sun, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Citation: A Key to Building Responsible and Accountable Large Language Models. CoRR Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Configuration Validation with Large Language Models. CoRR Xinyu Lian, Yinfang Chen, Runxiang Cheng, Jie Huang, Parth Thakkar, Tianyin Xu
2023	—	`conf`	Descriptive Knowledge Graph in Biomedical Domain. EMNLP (Demos) Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Descriptive Knowledge Graph in Biomedical Domain. CoRR Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang
2023	—	`conf`	DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. ACL (1) Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang
2023	A*	`conf`	Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Large Language Models Cannot Self-Correct Reasoning Yet. CoRR Jie Huang, Xinyun Chen, Swaroop Mishra, Huaixiu Steven Zheng, Adams Wei Yu, Xinying Song, Denny Zhou
2023	J	`jnl`	Let the Pretrained Language Models "Imagine" for Short Texts Topic Modeling. CoRR Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Mastering the ABCDs of Complex Questions: Answer-Based Claim Decomposition for Fine-grained Self-Evaluation. CoRR Nishant Balepur, Jie Huang, Samraj Moorjani, Hari Sundaram, Kevin Chen-Chuan Chang
2023	—	`conf`	Multi-step Jailbreaking Privacy Attacks on ChatGPT. EMNLP (Findings) Haoran Li, Dadi Guo, Wei Fan, Mingshi Xu, Jie Huang, Fanpu Meng, Yangqiu Song
2023	J	`jnl`	Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. CoRR Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang
2023	J	`jnl`	RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models. CoRR Jie Huang, Wei Ping, Peng Xu, Mohammad Shoeybi, Kevin Chen-Chuan Chang, Bryan Catanzaro
2023	J	`jnl`	Situated Natural Language Explanations. CoRR Zining Zhu, Haoming Jiang, Jingfeng Yang, Sreyashi Nag, Chao Zhang, Jie Huang, Yifan Gao, Frank Rudzicz, Bing Yin
2023	A*	`conf`	Text Fact Transfer. EMNLP Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	J	`jnl`	Text Fact Transfer. CoRR Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang
2023	—	`conf`	Towards Reasoning in Large Language Models: A Survey. ACL (Findings) Jie Huang, Kevin Chen-Chuan Chang
2023	—	`conf`	VER: Unifying Verbalizing Entities and Relations. EMNLP (Findings) Jie Huang, Kevin Chang
2023	J	`jnl`	Why Does ChatGPT Fall Short in Answering Questions Faithfully? CoRR Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang
2022	—	`conf`	Are Large Pre-Trained Language Models Leaking Your Personal Information? EMNLP (Findings) Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
2022	J	`jnl`	Are Large Pre-Trained Language Models Leaking Your Personal Information? CoRR Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
2022	J	`jnl`	Can Language Models Be Specific? How? CoRR Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	A*	`conf`	Coordinated Topic Modeling. EMNLP Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
2022	J	`jnl`	Coordinated Topic Modeling. CoRR Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang
2022	A*	`conf`	DEER: Descriptive Knowledge Graph for Explaining Entity Relationships. EMNLP Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	J	`jnl`	DKG: A Descriptive Knowledge Graph for Explaining Relationships between Entities. CoRR Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	J	`jnl`	DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. CoRR Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang
2022	—	`conf`	Domain Representative Keywords Selection: A Probabilistic Approach. ACL (Findings) Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
2022	J	`jnl`	Domain Representative Keywords Selection: A Probabilistic Approach. CoRR Pritom Saha Akash, Jie Huang, Kevin Chen-Chuan Chang, Yunyao Li, Lucian Popa, ChengXiang Zhai
2022	A*	`conf`	MetaASSIST: Robust Dialogue State Tracking with Meta Learning. EMNLP Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz
2022	J	`jnl`	MetaASSIST: Robust Dialogue State Tracking with Meta Learning. CoRR Fanghua Ye, Xi Wang, Jie Huang, Shenghui Li, Samuel Stern, Emine Yilmaz
2022	—	`conf`	Open Relation Modeling: Learning to Define Relations between Entities. ACL (Findings) Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
2022	J	`jnl`	Towards Reasoning in Large Language Models: A Survey. CoRR Jie Huang, Kevin Chen-Chuan Chang
2022	A*	`conf`	Understanding Jargon: Combining Extraction and Generation for Definition Modeling. EMNLP Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu
2022	J	`jnl`	VER: Learning Natural Language Representations for Verbalizing Entities and Relations. CoRR Jie Huang, Kevin Chen-Chuan Chang
2021	J	`jnl`	CDM: Combining Extraction and Generation for Definition Modeling. CoRR Jie Huang, Hanyin Shao, Kevin Chen-Chuan Chang
2021	—	`conf`	Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. ACL/IJCNLP (1) Jie Huang, Kevin Chang, Jinjun Xiong, Wen-Mei Hwu
2021	J	`jnl`	Measuring Fine-Grained Domain Relevance of Terms: A Hierarchical Core-Fringe Approach. CoRR Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu
2021	J	`jnl`	Open Relation Modeling: Learning to Define Relations between Entities. CoRR Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-mei W. Hwu
2020	J	`jnl`	A Game Generative Network Framework with its Application to Relationship Inference. CoRR Jie Huang, Fanghua Ye, Xu Chen
2020	—	`conf`	Exploring Semantic Capacity of Terms. EMNLP (1) Jie Huang, Zilong Wang, Kevin Chang, Wen-Mei Hwu, Jinjun Xiong
2020	J	`jnl`	Exploring Semantic Capacity of Terms. CoRR Jie Huang, Zilong Wang, Kevin Chen-Chuan Chang, Wen-Mei Hwu, Jinjun Xiong
2020	J	`jnl`	Nonuniform Hyper-Network Embedding with Dual Mechanism. ACM Trans. Inf. Syst. Jie Huang, Chuan Chen, Fanghua Ye, Weibo Hu, Zibin Zheng
2019	A	`conf`	Hyper-Path-Based Representation Learning for Hyper-Networks. CIKM Jie Huang, Xin Liu, Yangqiu Song
2019	J	`jnl`	Hyper-Path-Based Representation Learning for Hyper-Networks. CoRR Jie Huang, Xin Liu, Yangqiu Song
2019	—	`conf`	Hyper2vec: Biased Random Walk for Hyper-network Embedding. DASFAA (3) Jie Huang, Chuan Chen, Fanghua Ye, Jiajing Wu, Zibin Zheng, Guohui Ling