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ORCIDHenry Peng Zou
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2020 – today
- 2024
[c7]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. ACL (Findings) 2024: 338-354- [c6]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CIKM 2024: 3248-3258 - [c5]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Cheng Jiayang, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. EMNLP 2024: 5081-5099 - [c4]Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang:
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks. EMNLP 2024: 13293-13304 - [c3]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. NAACL (Industry Track) 2024: 453-463 - [i12]Henry Peng Zou, Gavin Heqing Yu, Ziwei Fan, Dan Bu, Han Liu, Peng Dai, Dongmei Jia, Cornelia Caragea:
EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM. CoRR abs/2404.08886 (2024) - [i11]Henry Peng Zou, Vinay Samuel, Yue Zhou, Weizhi Zhang, Liancheng Fang, Zihe Song, Philip S. Yu, Cornelia Caragea:
ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction. CoRR abs/2404.15592 (2024) - [i10]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Yuanjie Zhu, Philip S. Yu:
Mixed Supervised Graph Contrastive Learning for Recommendation. CoRR abs/2404.15954 (2024) - [i9]Chengyuan Deng, Yiqun Duan, Xin Jin, Heng Chang, Yijun Tian, Han Liu, Henry Peng Zou, Yiqiao Jin, Yijia Xiao, Yichen Wang, Shenghao Wu, Zongxing Xie, Kuofeng Gao, Sihong He, Jun Zhuang, Lu Cheng, Haohan Wang:
Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas. CoRR abs/2406.05392 (2024) - [i8]Jiangshu Du, Yibo Wang, Wenting Zhao, Zhongfen Deng, Shuaiqi Liu, Renze Lou, Henry Peng Zou, Pranav Narayanan Venkit, Nan Zhang, Mukund Srinath, Haoran Ranran Zhang, Vipul Gupta, Yinghui Li, Tao Li, Fei Wang, Qin Liu, Tianlin Liu, Pengzhi Gao, Congying Xia, Chen Xing, Jiayang Cheng, Zhaowei Wang, Ying Su, Raj Sanjay Shah, Ruohao Guo, Jing Gu, Haoran Li, Kangda Wei, Zihao Wang, Lu Cheng, Surangika Ranathunga, Meng Fang, Jie Fu, Fei Liu, Ruihong Huang, Eduardo Blanco, Yixin Cao, Rui Zhang, Philip S. Yu, Wenpeng Yin:
LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing. CoRR abs/2406.16253 (2024) - [i7]Yue Zhou, Henry Peng Zou, Barbara Di Eugenio, Yang Zhang:
Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks. CoRR abs/2407.00869 (2024) - [i6]Vinay Samuel, Henry Peng Zou, Yue Zhou, Shreyas Chaudhari, Ashwin Kalyan, Tanmay Rajpurohit, Ameet Deshpande, Karthik Narasimhan, Vishvak Murahari:
PersonaGym: Evaluating Persona Agents and LLMs. CoRR abs/2407.18416 (2024) - [i5]Weizhi Zhang, Liangwei Yang, Zihe Song, Henry Peng Zou, Ke Xu, Liancheng Fang, Philip S. Yu:
Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation. CoRR abs/2407.18910 (2024) - [i4]Vinay Samuel, Yue Zhou, Henry Peng Zou:
Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges. CoRR abs/2409.09927 (2024) - 2023
- [c2]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. EMNLP (Findings) 2023: 6104-6115 - [c1]Henry Peng Zou, Cornelia Caragea:
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. EMNLP 2023: 7290-7301 - [i3]Henry Peng Zou, Yue Zhou, Weizhi Zhang, Cornelia Caragea:
DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank. CoRR abs/2310.14577 (2023) - [i2]Henry Peng Zou, Cornelia Caragea:
JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification. CoRR abs/2310.14583 (2023) - [i1]Henry Peng Zou, Yue Zhou, Cornelia Caragea, Doina Caragea:
CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification. CoRR abs/2310.14627 (2023)
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