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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:  ; 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
Variance-Aware Machine Translation Test Sets Conference paper
Zhan, R., Liu, X., Wong, F., Chao, L.. Variance-Aware Machine Translation Test Sets[C], 2021.
Authors:  Zhan, R.;  Liu, X.;  Wong, F.;  Chao, L.
Favorite |  | Submit date：2022/08/19
Neural Machine Translation  Evaluation