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Do Good and Do No Harm Too: Employee-Related Corporate Social (Ir) responsibility and Information Security Performance Journal article
WANG QIAN, Dan Pienta, Shenyang Jiang, Eric W. T. Ngai, Jason Bennett Thatcher. Do Good and Do No Harm Too: Employee-Related Corporate Social (Ir) responsibility and Information Security Performance[J]. Journal of the Association for Information Systems, 2025, 26(1), 171-204.
Authors:  WANG QIAN;  Dan Pienta;  Shenyang Jiang;  Eric W. T. Ngai;  Jason Bennett Thatcher
Adobe PDF | Favorite | TC[WOS]:0 TC[Scopus]:0  IF:7.0/7.4 | Submit date：2025/01/19
SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection Conference paper
Liangxin Liu, Xuebo Liu, Derek F. Wong, Dongfang Li, Ziyi Wang, Baotian Hu, Min Zhang. SelectIT: Selective Instruction Tuning for LLMs via Uncertainty-Aware Self-Reflection[C], 2024.
Authors:  Liangxin Liu;  Xuebo Liu;  Derek F. Wong;  Dongfang Li;  Ziyi Wang; et al.
Favorite |  | Submit date：2024/09/26
Revisiting Few-Shot Object Detection with Vision-Language Models Conference paper
Madan, Anish, Peri, Neehar, KONG, SHU, Ramanan, Deva. Revisiting Few-Shot Object Detection with Vision-Language Models[C], 2024.
Authors:  Madan, Anish;  Peri, Neehar;  KONG, SHU;  Ramanan, Deva
Adobe PDF | Favorite |  | Submit date：2024/11/17
DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain Conference paper
Fengpeng Li, Kemou Li, Haiwei Wu, Jinyu Tian, Jiantao Zhou. DAT: Improving Adversarial Robustness via Generative Amplitude Mix-up in Frequency Domain[C], 2024.
Authors:  Fengpeng Li;  Kemou Li;  Haiwei Wu;  Jinyu Tian;  Jiantao Zhou
Favorite |  | Submit date：2024/12/11
DetectEval: Benchmarking LLM-Generated Text Detection in Real-World Scenarios Conference paper
Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao. DetectEval: Benchmarking LLM-Generated Text Detection in Real-World Scenarios[C], 2024.
Authors:  Junchao Wu;  Runzhe Zhan;  Derek F. Wong;  Shu Yang;  Xinyi Yang; et al.
Favorite |  | Submit date：2024/09/26
Benchmarking LLMs via Uncertainty Quantification Conference paper
Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu. Benchmarking LLMs via Uncertainty Quantification[C], 2024.
Authors:  Fanghua Ye;  Mingming Yang;  Jianhui Pang;  Longyue Wang;  Derek F. Wong; et al.
Favorite |  | Submit date：2024/09/26
Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning Conference paper
Yiming Wang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang. Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning[C], 2024.
Authors:  Yiming Wang;  Pei Zhang;  Baosong Yang;  Derek F. Wong;  Zhuosheng Zhang; et al.
Favorite |  | Submit date：2024/09/26
DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios Conference paper
Junchao Wu, Runzhe Zhan, Derek F. Wong, Shu Yang, Xinyi Yang, Yulin Yuan, Lidia S. Chao. DetectRL: Benchmarking LLM-Generated Text Detection in Real-World Scenarios[C], 2024.
Authors:  Junchao Wu;  Runzhe Zhan;  Derek F. Wong;  Shu Yang;  Xinyi Yang; et al.
Favorite |  | Submit date：2025/02/20
Benchmarking LLMs via Uncertainty Quantification Conference paper
Fanghua Ye, Mingming Yang, Jianhui Pang, Longyue Wang, Derek F. Wong, Emine Yilmaz, Shuming Shi, Zhaopeng Tu. Benchmarking LLMs via Uncertainty Quantification[C], 2024.
Authors:  Fanghua Ye;  Mingming Yang;  Jianhui Pang;  Longyue Wang;  Derek F. Wong; et al.
Favorite |  | Submit date：2025/02/20
Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning Conference paper
YimingWang, Pei Zhang, Baosong Yang, Derek F. Wong, Zhuosheng Zhang, Rui Wang. Trajectory Volatility for Out-of-Distribution Detection in Mathematical Reasoning[C], 2024.
Authors:  YimingWang;  Pei Zhang;  Baosong Yang;  Derek F. Wong;  Zhuosheng Zhang; et al.
Favorite |  | Submit date：2025/02/20