JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification von Zou, Henry Peng, Caragea, Cornelia

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Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges von Samuel, Vinay, Zhou, Yue, Zou, Henry Peng

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Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks von Zhou, Yue, Zou, Henry Peng, Di Eugenio, Barbara, Zhang, Yang

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DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank von Zou, Henry Peng, Zhou, Yue, Zhang, Weizhi, Caragea, Cornelia

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CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification von Zou, Henry Peng, Zhou, Yue, Caragea, Cornelia, Caragea, Doina

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COOD: Concept-based Zero-shot OOD Detection von Liu, Zhendong, Nian, Yi, Zou, Henry Peng, Li, Li, Hu, Xiyang, Zhao, Yue

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JointMatch: A Unified Approach for Diverse and Collaborative Pseudo-Labeling to Semi-Supervised Text Classification von Henry Peng Zou, Caragea, Cornelia

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Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation von Zhang, Weizhi, Yang, Liangwei, Song, Zihe, Zou, Henry Peng, Xu, Ke, Fang, Liancheng, Yu, Philip S

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Mixed Supervised Graph Contrastive Learning for Recommendation von Zhang, Weizhi, Yang, Liangwei, Song, Zihe, Zou, Henry Peng, Xu, Ke, Zhu, Yuanjie, Yu, Philip S

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Towards Data Contamination Detection for Modern Large Language Models: Limitations, Inconsistencies, and Oracle Challenges von Samuel, Vinay, Zhou, Yue, Henry Peng Zou

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EIVEN: Efficient Implicit Attribute Value Extraction using Multimodal LLM von Zou, Henry Peng, Yu, Gavin Heqing, Fan, Ziwei, Bu, Dan, Liu, Han, Dai, Peng, Jia, Dongmei, Caragea, Cornelia

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PersonaGym: Evaluating Persona Agents and LLMs von Samuel, Vinay, Zou, Henry Peng, Zhou, Yue, Chaudhari, Shreyas, Kalyan, Ashwin, Rajpurohit, Tanmay, Deshpande, Ameet, Narasimhan, Karthik, Murahari, Vishvak

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Sequential LLM Framework for Fashion Recommendation von Liu, Han, Tang, Xianfeng, Chen, Tianlang, Liu, Jiapeng, Indu, Indu, Zou, Henry Peng, Dai, Peng, Galan, Roberto Fernandez, Porter, Michael D, Jia, Dongmei, Zhang, Ning, Xiong, Lian

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ImplicitAVE: An Open-Source Dataset and Multimodal LLMs Benchmark for Implicit Attribute Value Extraction von Zou, Henry Peng, Samuel, Vinay, Zhou, Yue, Zhang, Weizhi, Fang, Liancheng, Song, Zihe, Yu, Philip S, Caragea, Cornelia

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Large Language Models Are Involuntary Truth-Tellers: Exploiting Fallacy Failure for Jailbreak Attacks von Zhou, Yue, Henry Peng Zou, Barbara Di Eugenio, Zhang, Yang

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Deconstructing The Ethics of Large Language Models from Long-standing Issues to New-emerging Dilemmas: A Survey von Deng, Chengyuan, Duan, Yiqun, Jin, Xin, Chang, Heng, Tian, Yijun, Liu, Han, Wang, Yichen, Gao, Kuofeng, Zou, Henry Peng, Jin, Yiqiao, Xiao, Yijia, Wu, Shenghao, Xie, Zongxing, Lyu, Weimin, He, Sihong, Cheng, Lu, Wang, Haohan, Zhuang, Jun

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DeCrisisMB: Debiased Semi-Supervised Learning for Crisis Tweet Classification via Memory Bank von Henry Peng Zou, Zhou, Yue, Zhang, Weizhi, Caragea, Cornelia

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CrisisMatch: Semi-Supervised Few-Shot Learning for Fine-Grained Disaster Tweet Classification von Henry Peng Zou, Zhou, Yue, Caragea, Cornelia, Caragea, Doina

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COOD: Concept-based Zero-shot OOD Detection von Liu, Zhendong, Yi Nian, Henry Peng Zou, Li, Li, Hu, Xiyang, Zhao, Yue

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Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation von Zhang, Weizhi, Yang, Liangwei, Song, Zihe, Henry Peng Zou, Xu, Ke, Fang, Liancheng, Yu, Philip S

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