add: 1 survey paper

_news/llmsurvey23.md

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+layout: post
+date: 2023-07-07
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+We present the first survey on *Evaluation of large language models*! [[arxiv](https://arxiv.org/abs/2307.03109)] [[code](https://github.com/MLGroupJLU/LLM-eval-survey)]

_pages/publications.md

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 #### Preprints
 
+
+- A Survey on Evaluation of Large Language Models. Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie. [[arxiv](https://arxiv.org/abs/2307.03109)] [[code](https://github.com/MLGroupJLU/LLM-eval-survey)]
 - 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)]
 - PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization. Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang. [[arxiv](https://arxiv.org/abs/2306.05087)] [[code](https://github.com/WeOpenML/PandaLM)]
 - 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)]
@@ -19,7 +21,6 @@ nav: true
 - An Embarrassingly Simple Baseline for Imbalanced Semi-Supervised Learning. Hao Chen, Yue Fan, Yidong Wang, **Jindong Wang**, Bernt Schiele, Xing Xie, Marios Savvides, Bhiksha Raj. [[arxiv](https://arxiv.org/abs/2211.11086)] 
 - FIXED: Frustratingly Easy Domain Generalization with Mixup. Wang Lu, **Jindong Wang**, Han Yu, Lei Huang, Xiang Zhang, Yiqiang Chen, Xing Xie. [[arxiv](https://arxiv.org/abs/2211.05228)]
 - Conv-Adapter: Exploring Parameter Efficient Transfer Learning for ConvNets. Hao Chen, Ran Tao, Han Zhang, Yidong Wang, Wei Ye, Jindong Wang, Guosheng Hu, and Marios Savvides. [[arxiv](https://arxiv.org/abs/2208.07463)]
-- Towards Optimization and Model Selection for Domain Generalization: A Mixup-guided Solution. Wang Lu, **Jindong Wang**, Yidong Wang, Kan Ren, Yiqiang Chen, Xing Xie. [[arxiv](https://arxiv.org/abs/2209.00652)]
 - Equivariant Disentangled Transformation for Domain Generalization under Combination Shift. Yivan Zhang, **Jindong Wang**, Xing Xie, and Masashi Sugiyama. [[arxiv](https://arxiv.org/abs/2208.02011)]
 - Boosting Cross-Domain Speech Recognition with Self-Supervision. Han Zhu, Gaofeng Cheng, **Jindong Wang**, Wenxin Hou, Pengyuan Zhang, and Yonghong Yan. [[arxiv](https://arxiv.org/abs/2206.09783)]
 - Learning Invariant Representations across Domains and Tasks. **Jindong Wang**, Wenjie Feng, Chang Liu, Chaohui Yu, Mingxuan Du, Renjun Xu, Tao Qin, and Tie-Yan Liu. [[arxiv](https://arxiv.org/abs/2103.05114)]

_pages/research.md

@@ -16,6 +16,7 @@ Our research consists of the following topics with selected publications: [[View
 
 ##### New: large models
 
+- [arXiv'23] [A Survey on Evaluation of Large Language Models](https://arxiv.org/abs/2307.03109). Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Kaijie Zhu, Hao Chen, Linyi Yang, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, Xing Xie. [[code](https://github.com/MLGroupJLU/LLM-eval-survey)]
 - [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)]
 - [arXiv'23] [PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization](https://arxiv.org/abs/2306.05087). Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang. [[code](https://github.com/WeOpenML/PandaLM)]
 - **[ACL'23 findings]** [GLUE-X: Evaluating Natural Language Understanding Models from an Out-of-distribution Generalization Perspective](https://arxiv.org/abs/2211.08073). Linyi Yang, Shuibai Zhang, Libo Qin, Yafu Li, Yidong Wang, Hanmeng Liu, Jindong Wang, Xing Xie, Yue Zhang.