From d5065f76e1dea9687adfdb58e5048c551b2c6c8d Mon Sep 17 00:00:00 2001 From: Jindong Wang Date: Thu, 8 Jun 2023 10:07:07 +0800 Subject: [PATCH] add: 1 paper --- _news/nips_ac23.md | 7 +++++++ _news/promptbench.md | 7 +++++++ _pages/publications.md | 1 + _pages/research.md | 7 ++++++- _pages/service.md | 2 ++ 5 files changed, 23 insertions(+), 1 deletion(-) create mode 100644 _news/nips_ac23.md create mode 100644 _news/promptbench.md diff --git a/_news/nips_ac23.md b/_news/nips_ac23.md new file mode 100644 index 000000000000..ea1a26b7ff28 --- /dev/null +++ b/_news/nips_ac23.md @@ -0,0 +1,7 @@ +--- +layout: post +date: 2023-06-07 +inline: true +--- + +I was nominated as the Area Chair (AC) for NeurIPS 2023 Dataset and Benchmark track! \ No newline at end of file diff --git a/_news/promptbench.md b/_news/promptbench.md new file mode 100644 index 000000000000..c11f462bd7e5 --- /dev/null +++ b/_news/promptbench.md @@ -0,0 +1,7 @@ +--- +layout: post +date: 2023-06-07 +inline: true +--- + +PromptBench: a unified benchmark to evaluate the adversarial robustness of prompts of large language models! [[arxiv](https://arxiv.org/abs/2306.04528)] [[code](https://github.com/microsoft/promptbench)] \ No newline at end of file diff --git a/_pages/publications.md b/_pages/publications.md index 71046c6af919..245294801ea6 100644 --- a/_pages/publications.md +++ b/_pages/publications.md @@ -11,6 +11,7 @@ nav: true #### Preprints +- PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts. Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie. [[arxiv](https://arxiv.org/abs/2306.04528)] [[code](https://github.com/microsoft/promptbench)] - Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup. Damien Teney, Jindong Wang, Ehsan Abbasnejad. [[arxiv](https://arxiv.org/abs/2305.16817)] - Imprecise Label Learning: A Unified Framework for Learning with Various Imprecise Label Configurations. Hao Chen, Ankit Shah, Jindong Wang, Ran Tao, Yidong Wang, Xing Xie, Masashi Sugiyama, Rita Singh, Bhiksha Raj. [[arxiv](https://arxiv.org/abs/2305.12715)] - Exploring Vision-Language Models for Imbalanced Learning. Yidong Wang, Zhuohao Yu, **Jindong Wang**, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang. [[arxiv](https://arxiv.org/abs/2304.01457)] [[code](https://github.com/Imbalance-VLM/Imbalance-VLM)] diff --git a/_pages/research.md b/_pages/research.md index b7020d555513..19ad723f7945 100644 --- a/_pages/research.md +++ b/_pages/research.md @@ -14,6 +14,12 @@ These days, we are specifically interested in robustness in large language model Our research consists of the following topics with selected publications: [[View by year](https://jd92.wang/publications/)] +##### New: large models + +- [arXiv'23] [PromptBench: Towards Evaluating the Robustness of Large Language Models on Adversarial Prompts](https://arxiv.org/abs/2306.04528). Kaijie Zhu, Jindong Wang, Jiaheng Zhou, Zichen Wang, Hao Chen, Yidong Wang, Linyi Yang, Wei Ye, Neil Zhenqiang Gong, Yue Zhang, Xing Xie. [[code](https://github.com/microsoft/promptbench)] +- **[ICLR'23 large model workshop]** [On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective](https://arxiv.org/abs/2302.12095). Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, and Xing Xie. +- - **[arXiv'23]** [Exploring Vision-Language Models for Imbalanced Learning](https://arxiv.org/abs/2304.01457). Yidong Wang, Zhuohao Yu, Jindong Wang, Qiang Heng, Hao Chen, Wei Ye, Rui Xie, Xing Xie, Shikun Zhang. [[code](https://github.com/Imbalance-VLM/Imbalance-VLM)] + ##### Out-of-distribution (Domain) generalization and adaptation for distribution shift - **[ICLR'23]** [Out-of-distribution Representation Learning for Time Series Classification](https://arxiv.org/abs/2209.07027). Wang Lu, Jindong Wang, Xinwei Sun, Yiqiang Chen, and Xing Xie. @@ -47,7 +53,6 @@ Our research consists of the following topics with selected publications: [[View ##### Safe transfer learning for security -- **[arXiv'23]** [On the Robustness of ChatGPT: An Adversarial and Out-of-distribution Perspective](https://arxiv.org/abs/2302.12095). Jindong Wang, Xixu Hu, Wenxin Hou, Hao Chen, Runkai Zheng, Yidong Wang, Linyi Yang, Haojun Huang, Wei Ye, Xiubo Geng, Binxin Jiao, Yue Zhang, and Xing Xie. - **[ICSE'22]** [ReMoS: Reducing Defect Inheritance in Transfer Learning via Relevant Model Slicing](https://jd92.wang/assets/files/icse22-remos.pdf). Ziqi Zhang, Yuanchun Li, Jindong Wang, Bingyan Liu, Ding Li, Xiangqun Chen, Yao Guo, and Yunxin Liu. - **[IEEE TBD'22]** [Personalized Federated Learning with Adaptive Batchnorm for Healthcare](https://arxiv.org/abs/2112.00734). Wang Lu, Jindong Wang, Yiqiang Chen, Xin Qin, Renjun Xu, Dimitrios Dimitriadis, and Tao Qin. - **[TKDE'22]** [Unsupervised deep anomaly detection for multi-sensor time-series signals](https://arxiv.org/abs/2107.12626). Yuxin Zhang, Yiqiang Chen, Jindong Wang, and Zhiwen Pan. diff --git a/_pages/service.md b/_pages/service.md index 4865e9041ce7..ce84f6b0d2f8 100644 --- a/_pages/service.md +++ b/_pages/service.md @@ -13,6 +13,8 @@ nav: true - IJCAI 2019 Publicity co-chair - ICDM 2019 transfer learning session chair - Conference senior member/area chair: + - NeurIPS 2023 Area Chair for Dataset and Benchmark track + - AAAI 2023 senior PC - IJCAI 2023 senior PC - AAAI 2023 senior PC - Conference PC member: