Pu Zhao

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 28

Top Topics

Diffusion Model

Failure Prediction

Hands On Training

Top Venues

WWW (Companion Volume)

ESEC/SIGSOFT FSE

Publications

Chiming Duan, Fangkai Yang, Pu Zhao, Lingling Zheng, Yash Dagli, Yudong Liu, Qingwei Lin, Dongmei Zhang
SOIL: Score Conditioned Diffusion Model for Imbalanced Cloud Failure Prediction. WWW (Companion Volume) (2024)
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Qingwei Lin, Daxin Jiang
WizardLM: Empowering Large Pre-Trained Language Models to Follow Complex Instructions. ICLR (2024)
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. ICLR (2024)
Lu Wang, Chao Du, Pu Zhao, Chuan Luo, Zhangchi Zhu, Bo Qiao, Wei Zhang, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
Contrastive Learning with Negative Sampling Correction. CoRR (2024)
Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Qi Zhang
Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. CoRR (2024)
Haozhe Li, Minghua Ma, Yudong Liu, Pu Zhao, Lingling Zheng, Ze Li, Yingnong Dang, Murali Chintalapati, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Why does Prediction Accuracy Decrease over Time? Uncertain Positive Learning for Cloud Failure Prediction. CoRR (2024)
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Qingwei Lin, Jianguang Lou, Shifeng Chen, Yansong Tang, Weizhu Chen
Arena Learning: Build Data Flywheel for LLMs Post-training via Simulated Chatbot Arena. CoRR (2024)
Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong
SELF-GUARD: Empower the LLM to Safeguard Itself. NAACL-HLT (2024)
Kaikai An, Fangkai Yang, Liqun Li, Zhixing Ren, Hao Huang, Lu Wang, Pu Zhao, Yu Kang, Hua Ding, Qingwei Lin, Saravan Rajmohan, Qi Zhang
Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides. CoRR (2024)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. ESEC/SIGSOFT FSE (2023)
Bo Qiao, Liqun Li, Xu Zhang, Shilin He, Yu Kang, Chaoyun Zhang, Fangkai Yang, Hang Dong, Jue Zhang, Lu Wang, Minghua Ma, Pu Zhao, Si Qin, Xiaoting Qin, Chao Du, Yong Xu, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
TaskWeaver: A Code-First Agent Framework. CoRR (2023)
Ziyang Luo, Can Xu, Pu Zhao, Xiubo Geng, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
Augmented Large Language Models with Parametric Knowledge Guiding. CoRR (2023)
Fangkai Yang, Pu Zhao, Zezhong Wang, Lu Wang, Bo Qiao, Jue Zhang, Mohit Garg, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. EMNLP (Industry Track) (2023)
Jiazhan Feng, Qingfeng Sun, Can Xu, Pu Zhao, Yaming Yang, Chongyang Tao, Dongyan Zhao, Qingwei Lin
MMDialog: A Large-scale Multi-turn Dialogue Dataset Towards Multi-modal Open-domain Conversation. ACL (1) (2023)
Haoxin Liu, Pu Zhao, Si Qin, Yong Shi, Mirror Xu, Qingwei Lin, Dongmei Zhang
HAPENS: Hardness-Personalized Negative Sampling for Implicit Collaborative Filtering. WWW (Companion Volume) (2023)
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Diffusion-based Time Series Data Imputation for Microsoft 365. CoRR (2023)
Zezhong Wang, Fangkai Yang, Lu Wang, Pu Zhao, Hongru Wang, Liang Chen, Qingwei Lin, Kam-Fai Wong
Self-Guard: Empower the LLM to Safeguard Itself. CoRR (2023)
Fangkai Yang, Wenjie Yin, Lu Wang, Tianci Li, Pu Zhao, Bo Liu, Paul Wang, Bo Qiao, Yudong Liu, Mårten Björkman, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Diffusion-Based Time Series Data Imputation for Cloud Failure Prediction at Microsoft 365. ESEC/SIGSOFT FSE (2023)
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. KDD (2023)
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, Daxin Jiang
WizardLM: Empowering Large Language Models to Follow Complex Instructions. CoRR (2023)
Haipeng Luo, Qingfeng Sun, Can Xu, Pu Zhao, Jianguang Lou, Chongyang Tao, Xiubo Geng, Qingwei Lin, Shifeng Chen, Dongmei Zhang
WizardMath: Empowering Mathematical Reasoning for Large Language Models via Reinforced Evol-Instruct. CoRR (2023)
Zhangchi Zhu, Lu Wang, Pu Zhao, Chao Du, Wei Zhang, Hang Dong, Bo Qiao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang
Robust Positive-Unlabeled Learning via Noise Negative Sample Self-correction. CoRR (2023)
Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. ICCV (2023)
Zezhong Wang, Fangkai Yang, Pu Zhao, Lu Wang, Jue Zhang, Mohit Garg, Qingwei Lin, Dongmei Zhang
Empower Large Language Model to Perform Better on Industrial Domain-Specific Question Answering. CoRR (2023)
Pengxiang Jin, Shenglin Zhang, Minghua Ma, Haozhe Li, Yu Kang, Liqun Li, Yudong Liu, Bo Qiao, Chaoyun Zhang, Pu Zhao, Shilin He, Federica Sarro, Yingnong Dang, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Assess and Summarize: Improve Outage Understanding with Large Language Models. CoRR (2023)
Ziyang Luo, Can Xu, Pu Zhao, Qingfeng Sun, Xiubo Geng, Wenxiang Hu, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang
WizardCoder: Empowering Code Large Language Models with Evol-Instruct. CoRR (2023)
Qingwei Lin, Tianci Li, Pu Zhao, Yudong Liu, Minghua Ma, Lingling Zheng, Murali Chintalapati, Bo Liu, Paul Wang, Hongyu Zhang, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang
EDITS: An Easy-to-difficult Training Strategy for Cloud Failure Prediction. WWW (Companion Volume) (2023)
Liting Chen, Lu Wang, Hang Dong, Yali Du, Jie Yan, Fangkai Yang, Shuang Li, Pu Zhao, Si Qin, Saravan Rajmohan, Qingwei Lin, Dongmei Zhang
Introspective Tips: Large Language Model for In-Context Decision Making. CoRR (2023)