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- Kevin Chen-Chuan Chang
![[0000-0003-0997-6803]](https://dblp.org/img/orcid-mark.12x12.png "0000-0003-0997-6803")
aka: Kevin Chang 0001
University of Illinois at Urbana-Champaign, IL, USA
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Publication search results
found 225 matches
- 2024
- Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chang:
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage. EACL (Findings) 2024: 814-825 - Hongtai Cao, Qihao Wang, Xiaodong Li, Matin Najafi, Kevin Chen-Chuan Chang, Reynold Cheng:
Large Subgraph Matching: A Comprehensive and Efficient Approach for Heterogeneous Graphs. ICDE 2024: 2972-2985 - Qihao Wang, Hongtai Cao, Xiaodong Li, Kevin Chen-Chuan Chang, Reynold Cheng:
From Motif to Path: Connectivity and Homophily. ICDE 2024: 2751-2764 - Jie Huang, Kevin Chang:
Citation: A Key to Building Responsible and Accountable Large Language Models. NAACL-HLT (Findings) 2024: 464-473 - Shen Zheng, Yuyu Zhang, Yijie Zhu, Chenguang Xi, Pengyang Gao, Zhou Xun, Kevin Chang:
GPT-Fathom: Benchmarking Large Language Models to Decipher the Evolutionary Path towards GPT-4 and Beyond. NAACL-HLT (Findings) 2024: 1363-1382 - Kerui Zhu, Bo-Wei Huang, Bowen Jin, Yizhu Jiao, Ming Zhong, Kevin Chang, Shou-De Lin, Jiawei Han:
Investigating Instruction Tuning Large Language Models on Graphs. CoRR abs/2408.05457 (2024) - Pritom Saha Akash, Kevin Chen-Chuan Chang:
Enhancing Short-Text Topic Modeling with LLM-Driven Context Expansion and Prefix-Tuned VAEs. CoRR abs/2410.03071 (2024) - 2023
- Fanwei Zhu, Yuan Fang, Kai Zhang, Kevin Chen-Chuan Chang, Hongtai Cao, Zhen Jiang, Minghui Wu:
Unified and Incremental SimRank: Index-Free Approximation With Scheduled Principle. IEEE Trans. Knowl. Data Eng. 35(3): 3195-3210 (2023) - Changyu Wang, Pinghui Wang, Tao Qin, Chenxu Wang, Suhansanu Kumar, Xiaohong Guan, Jun Liu, Kevin Chen-Chuan Chang:
SocialSift: Target Query Discovery on Online Social Media With Deep Reinforcement Learning. IEEE Trans. Neural Networks Learn. Syst. 34(9): 5654-5668 (2023) - Jie Huang, Kevin Chen-Chuan Chang:
Towards Reasoning in Large Language Models: A Survey. ACL (Findings) 2023: 1049-1065 - Jie Huang, Kevin Chen-Chuan Chang, Jinjun Xiong, Wen-Mei Hwu:
Can Language Models Be Specific? How? ACL (Findings) 2023: 716-727 - Lam Do, Pritom Saha Akash, Kevin Chen-Chuan Chang:
Unsupervised Open-domain Keyphrase Generation. ACL (1) 2023: 10614-10627 - Chenzhengyi Liu, Jie Huang, Kerui Zhu, Kevin Chen-Chuan Chang:
DimonGen: Diversified Generative Commonsense Reasoning for Explaining Concept Relationships. ACL (1) 2023: 4719-4731 - Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang, ChengXiang Zhai, Yunyao Li:
When to Use What: An In-Depth Comparative Empirical Analysis of OpenIE Systems for Downstream Applications. ACL (1) 2023: 929-949 - Cheng-I Jeff Lai, Freda Shi, Puyuan Peng, Yoon Kim, Kevin Gimpel, Shiyu Chang, Yung-Sung Chuang, Saurabhchand Bhati, David D. Cox, David Harwath, Yang Zhang, Karen Livescu, James R. Glass:
Audio-Visual Neural Syntax Acquisition. ASRU 2023: 1-8 - Denghao Ma, Kevin Chen-Chuan Chang, Yueguo Chen, Xueqiang Lv, Liang Shen:
A Principled Decomposition of Pointwise Mutual Information for Intention Template Discovery. CIKM 2023: 1746-1755 - Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Text Fact Transfer. EMNLP 2023: 4745-4764 - Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Expository Text Generation: Imitate, Retrieve, Paraphrase. EMNLP 2023: 11896-11919 - Jie Huang, Kevin Chang:
VER: Unifying Verbalizing Entities and Relations. EMNLP (Findings) 2023: 15700-15710 - Yuxiang Liu, Jie Huang, Kevin Chen-Chuan Chang:
Ask To The Point: Open-Domain Entity-Centric Question Generation. EMNLP (Findings) 2023: 2703-2716 - Kevin Pei, Ishan Jindal, Kevin Chen-Chuan Chang:
Abstractive Open Information Extraction. EMNLP 2023: 6146-6158 - Kerui Zhu, Jie Huang, Kevin Chen-Chuan Chang:
Descriptive Knowledge Graph in Biomedical Domain. EMNLP (Demos) 2023: 462-470 - Jinyang Li, Binyuan Hui, Ge Qu, Jiaxi Yang, Binhua Li, Bowen Li, Bailin Wang, Bowen Qin, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. NeurIPS 2023 - Shen Zheng, Jie Huang, Kevin Chen-Chuan Chang:
Why Does ChatGPT Fall Short in Answering Questions Faithfully? CoRR abs/2304.10513 (2023) - Jinyang Li, Binyuan Hui, Ge Qu, Binhua Li, Jiaxi Yang, Bowen Li, Bailin Wang, Bowen Qin, Rongyu Cao, Ruiying Geng, Nan Huo, Xuanhe Zhou, Chenhao Ma, Guoliang Li, Kevin Chen-Chuan Chang, Fei Huang, Reynold Cheng, Yongbin Li:
Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs. CoRR abs/2305.03111 (2023) - Nishant Balepur, Jie Huang, Kevin Chen-Chuan Chang:
Expository Text Generation: Imitate, Retrieve, Paraphrase. CoRR abs/2305.03276 (2023) - Jie Huang, Yifan Gao, Zheng Li, Jingfeng Yang, Yangqiu Song, Chao Zhang, Zining Zhu, Haoming Jiang, Kevin Chen-Chuan Chang, Bing Yin:
CCGen: Explainable Complementary Concept Generation in E-Commerce. CoRR abs/2305.11480 (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 abs/2305.12707 (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 abs/2305.14750 (2023) - Lam Thanh Do, Pritom Saha Akash, Kevin Chen-Chuan Chang:
Unsupervised Open-domain Keyphrase Generation. CoRR abs/2306.10755 (2023)
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