Search Results - Qiaozhu Mei

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  1. 61
    Neural Language Generation: Formulation, Methods, and Evaluation

    Neural Language Generation: Formulation, Methods, and Evaluation by Garbacea, Cristina, Qiaozhu Mei

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  2. 62
    Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science

    Bridging AI and Science: Implications from a Large-Scale Literature Analysis of AI4Science by Xie, Yutong, Pan, Yijun, Xu, Hua, Qiaozhu Mei

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  3. 63
    When BERT Meets Bilbo: A Learning Curve Analysis of Pretrained Language Model on Disease Classification

    When BERT Meets Bilbo: A Learning Curve Analysis of Pretrained Language Model on Disease Classification by Li, Xuedong, Yuan, Walter, Peng, Dezhong, Mei, Qiaozhu, Wang, Yue

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  4. 64
    Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach

    Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach by Li, Zhuowan, Cheng, Li, Zhang, Mingyang, Qiaozhu Mei, Bendersky, Michael

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  5. 65
    Graph Representation Learning via Multi-task Knowledge Distillation

    Graph Representation Learning via Multi-task Knowledge Distillation by Ma, Jiaqi, Qiaozhu Mei

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  6. 66
    Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why?

    Can LLMs Effectively Leverage Graph Structural Information through Prompts, and Why? by Huang, Jin, Zhang, Xingjian, Qiaozhu Mei, Ma, Jiaqi

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  7. 67
    Emoji Promotes Developer Participation and Issue Resolution on GitHub

    Emoji Promotes Developer Participation and Issue Resolution on GitHub by Zhou, Yuhang, Lu, Xuan, Gao, Ge, Qiaozhu Mei, Ai, Wei

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  8. 68
    A Turing Test: Are AI Chatbots Behaviorally Similar to Humans?

    A Turing Test: Are AI Chatbots Behaviorally Similar to Humans? by Qiaozhu Mei, Xie, Yutong, Yuan, Walter, Jackson, Matthew O

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  9. 69
    Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles

    Named Entity Recognition from Table Headers in Randomized Controlled Trial Articles by Wei, Qiang, Zhou, Yujia, Zhao, Bo, Hu, Xinyue, Mei, Qiaozhu, Tao, Cui, Xu, Hua

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  10. 70
    Meta Semantic Template for Evaluation of Large Language Models

    Meta Semantic Template for Evaluation of Large Language Models by Liu, Yachuan, Chen, Liang, Wang, Jindong, Qiaozhu Mei, Xie, Xing

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  11. 71
    Generating gene summaries from biomedical literature : A study of semi-structured summarization : Text summarization

    Generating gene summaries from biomedical literature : A study of semi-structured summarization : Text summarization by XU LING, JING JIANG, XIN HE, QIAOZHU MEI, CHENGXIANG ZHAI, SCHATZ, Bruce

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  12. 72
    Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling

    Fast Learning of MNL Model from General Partial Rankings with Application to Network Formation Modeling by Ma, Jiaqi, Zhang, Xingjian, Qiaozhu Mei

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  13. 73
    Subgroup Generalization and Fairness of Graph Neural Networks

    Subgroup Generalization and Fairness of Graph Neural Networks by Ma, Jiaqi, Deng, Junwei, Qiaozhu Mei

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  14. 74
    Towards More Practical Adversarial Attacks on Graph Neural Networks

    Towards More Practical Adversarial Attacks on Graph Neural Networks by Ma, Jiaqi, Ding, Shuangrui, Qiaozhu Mei

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  15. 75
    Ranking & Reweighting Improves Group Distributional Robustness

    Ranking & Reweighting Improves Group Distributional Robustness by Liu, Yachuan, Zhang, Bohan, Qiaozhu Mei, Dhillon, Paramveer

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  16. 76
    Partition-Based Active Learning for Graph Neural Networks

    Partition-Based Active Learning for Graph Neural Networks by Ma, Jiaqi, Ma, Ziqiao, Chai, Joyce, Qiaozhu Mei

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  17. 77
    How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules

    How Much Space Has Been Explored? Measuring the Chemical Space Covered by Databases and Machine-Generated Molecules by Xie, Yutong, Xu, Ziqiao, Ma, Jiaqi, Qiaozhu Mei

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  18. 78
    Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem

    Adversarial Attack on Graph Neural Networks as An Influence Maximization Problem by Ma, Jiaqi, Deng, Junwei, Qiaozhu Mei

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  19. 79
    Unlocking the `Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience

    Unlocking the `Why' of Buying: Introducing a New Dataset and Benchmark for Purchase Reason and Post-Purchase Experience by Chen, Tao, Zuo, Siqi, Cheng, Li, Zhang, Mingyang, Qiaozhu Mei, Bendersky, Michael

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  20. 80
    Content Quality vs. Attention Allocation: An LLM-Based Case Study in Peer-to-peer Mental Health Networks

    Content Quality vs. Attention Allocation: An LLM-Based Case Study in Peer-to-peer Mental Health Networks by Teng Ye, Hanson, Yan, Huang, Xuhuan, Grogan, Connor, Yuan, Walter, Qiaozhu Mei, Jackson, Matthew O

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