Xuchao Zhang

Principal Research Manager

论文与出版物

查看方式：

- AutoAdapt: An Automated Domain Adaptation Framework for LLMs
  
  Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  Publication
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
  
  Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Ruehle, Robert Sim, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  Preprint
- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  AAMAS 2026 | January 2026
  
  Publication 项目
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  Publication 项目
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication 项目
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication 项目
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025, 第 abs/2504.15188 卷
  
  DOI Publication Publication
- Anyprefer: An Agentic Framework for Preference Data Synthesis
  
  Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
  
  ICLR 2025 | March 2025
  
  Publication PDF
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Verifiable Format Control for Large Language Model Generations
  
  Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
  
  NAACL | February 2025
  
  DOI Publication Publication
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | November 2024
  
  Preprint 项目
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  2024 Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 项目
- Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
  
  Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- X-lifecycle Learning for Cloud Incident Management using LLMs
  
  Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 项目
- CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
  
  Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure
  
  Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
  
  2023 USENIX Annual Technical Conference | July 2023
  
  Publication 项目
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication

- AutoAdapt: An Automated Domain Adaptation Framework for LLMs
  
  Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  Publication
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
  
  Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Ruehle, Robert Sim, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  Preprint
- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  AAMAS 2026 | January 2026
  
  Publication 项目
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  Publication 项目
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication 项目
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025, 第 abs/2504.15188 卷
  
  DOI Publication Publication
- Anyprefer: An Agentic Framework for Preference Data Synthesis
  
  Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
  
  ICLR 2025 | March 2025
  
  Publication PDF
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Verifiable Format Control for Large Language Model Generations
  
  Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
  
  NAACL | February 2025
  
  DOI Publication Publication
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | November 2024
  
  Preprint 项目
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  2024 Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 项目
- Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
  
  Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- X-lifecycle Learning for Cloud Incident Management using LLMs
  
  Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 项目
- CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
  
  Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication 项目
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure
  
  Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
  
  2023 USENIX Annual Technical Conference | July 2023
  
  Publication 项目
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication 项目
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 项目
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
  
  Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 项目
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication

- AutoAdapt: An Automated Domain Adaptation Framework for LLMs
  
  Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  Publication
- Adapting Web Agents with Synthetic Supervision
  
  Zhaoyang Wang, Yiming Liang, Xuchao Zhang, Qianhui Wu, Siwei Han, Anson Bastos, Rujia Wang, Chetan Bansal, Baolin Peng, Jianfeng Gao, Saravan Rajmohan, Huaxiu Yao
  
  November 2025
  
  Publication 项目
- Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity
  
  Menglin Xia, Xuchao Zhang, Shantanu Dixit, Paramaguru Harimurugan, Rujia Wang, Victor Ruehle, Robert Sim, Chetan Bansal, Saravan Rajmohan
  
  March 2026
  
  Preprint
- FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents
  
  Xuchao Zhang, Tanish Mittal, Chetan Bansal, Rujia Wang, Minghua Ma, Zhixin Ren, Hao Huang, Saravan Rajmohan
  
  October 2024
  
  Publication 项目
- PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis
  
  Dylan Zhang, Xuchao Zhang, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  September 2023
  
  Publication
- Synergistic Weak-Strong Collaboration by Aligning Preferences
  
  Yizhu Jiao, Xuchao Zhang, Zhaoyang Wang, Yubo Ma, Zhun Deng, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Jiawei Han, Huaxiu Yao
  
  ArXiv | April 2025, 第 abs/2504.15188 卷
  
  DOI Publication Publication
- LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation
  
  Dongge Han, Camille Couturier, Daniel Madrigal, Xuchao Zhang, Victor Ruehle, Saravan Rajmohan
  
  AAMAS 2026 | January 2026
  
  Publication 项目
- Generative Caching for Structurally Similar Prompts and Responses
  
  Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
  
  NeurIPS 2025 | November 2025
  
  Preprint
- Triangle: Empowering Incident Triage with Multi-Agent
  
  Zhaoyang Yu, Aoyang Fang, Minghua Ma, Chaoyun Zhang, Ze Li, Murali Chintalapati, Xuchao Zhang, Rujia Wang, Chetan Bansal, Saravan Rajmohan, Qingwei Lin 林庆维, et.al
  
  ASE'25 | November 2025
  
  Publication 项目
- REFA: Reference Free Alignment for multi-preference optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  COLM 2025 | July 2025
  
  Publication
- Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search
  
  Dongge Han, Menglin Xia, Daniel Madrigal, Samuel Kessler, Ankur Mallick, Xuchao Zhang, Mirian Hipolito Garcia, Jin Xu, Victor Ruehle, Saravan Rajmohan
  
  ICML TTODLer-FM Workshop 2025 | June 2025
  
  DOI Publication Publication 项目
- Anyprefer: An Agentic Framework for Preference Data Synthesis
  
  Yiyang Zhou, Zhaoyang Wang, Tianle Wang, Shangyu Xing, Peng Xia, Bo Li, Kaiyuan Zheng, Zijian Zhang, Zhaorun Chen, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Weitong Zhang, Ying Wei, Mohit Bansal, Huaxiu Yao
  
  ICLR 2025 | March 2025
  
  Publication PDF
- AMPO: Active Multi-Preference Optimization
  
  Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
  
  ICML 2025 | February 2025
  
  DOI Publication Publication
- Verifiable Format Control for Large Language Model Generations
  
  Zhaoyang Wang, Jinqi Jiang, Huichi Zhou, Wenhao Zheng, Xuchao Zhang, Chetan Bansal, Huaxiu Yao
  
  NAACL | February 2025
  
  DOI Publication Publication
- Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction
  
  Menglin Xia, Xuchao Zhang, Camille Couturier, Guoqing Zheng, Saravan Rajmohan, Victor Ruehle
  
  EMNLP 2024 Industry Track | November 2024
  
  Preprint 项目
- CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling
  
  Taneesh Gupta, Shivam Shandilya, Xuchao Zhang, Supriyo Ghosh, Chetan Bansal, Huaxiu Yao, Saravan Rajmohan
  
  2024 Meeting of the Association for Computational Linguistics | October 2024
  
  Publication
- Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4
  
  Xuchao Zhang, Supriyo GHOSH, Chetan Bansal, Rujia Wang, Minghua Ma, Yu Kang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- X-lifecycle Learning for Cloud Incident Management using LLMs
  
  Drishti Goel, Fiza Husain, Aditya Singh, Supriyo GHOSH, A. Parayil, Chetan Bansal, Xuchao Zhang, Saravan Rajmohan
  
  Foundations of Software Engineering (FSE) | July 2024
  
  Publication
- Exploring LLM-based Agents for Root Cause Analysis
  
  Devjeet Roy, Xuchao Zhang, Rashi Bhave, Chetan Bansal, Pedro Las-Casas, Rodrigo Fonseca, Saravan Rajmohan
  
  FSE '24: 32nd ACM International Conference on the Foundations of Software Engineering | July 2024
  
  Publication 项目
- CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models
  
  Peng Xia, Ze Chen, Juanxi Tian, Yangrui Gong, Ruibo Hou, Yue Xu, Zhenbang Wu, Zhiyuan Fan, Yiyang Zhou, Kangyu Zhu, Wenhao Zheng, Zhaoyang Wang, Xiao Wang, Xuchao Zhang, Chetan Bansal, Marc Niethammer, Junzhou Huang, Hongtu Zhu, Yun Li, Jimeng Sun, Zongyuan Ge, Gang Li, James Zou, Huaxiu Yao
  
  NeurIPS 2024 | June 2024
  
  DOI Publication Publication
- Automatic Root Cause Analysis via Large Language Models for Cloud Incidents
  
  Yinfang Chen, Huaibing Xie, Minghua Ma, Yu Kang, Xin Gao, Liu Shi, Yunjie Cao, Xue‐Chao Gao, Hao Fan, Ming Wen, Jun Zeng, Supriyo GHOSH, Xuchao Zhang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang
  
  EuroSys'24 | April 2024
  
  Publication
- AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure
  
  Pradeep Dogga, Chetan Bansal, Richard Costleigh, Gopinath Jayagopal, Suman Nath, Xuchao Zhang
  
  2023 USENIX Annual Technical Conference | July 2023
  
  Publication 项目
- Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models
  
  Toufique Ahmed, Supriyo GHOSH, Chetan Bansal, Tom Zimmermann, Xuchao Zhang, Saravan Rajmohan
  
  ICSE 2023 | May 2023
  
  Publication

Xuchao Zhang

论文与出版物

AutoAdapt: An Automated Domain Adaptation Framework for LLMs

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

Adapting Web Agents with Synthetic Supervision

Generative Caching for Structurally Similar Prompts and Responses

Triangle: Empowering Incident Triage with Multi-Agent

REFA: Reference Free Alignment for multi-preference optimization

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Synergistic Weak-Strong Collaboration by Aligning Preferences

Anyprefer: An Agentic Framework for Preference Data Synthesis

AMPO: Active Multi-Preference Optimization

Verifiable Format Control for Large Language Model Generations

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

X-lifecycle Learning for Cloud Incident Management using LLMs

Exploring LLM-based Agents for Root Cause Analysis

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

AutoAdapt: An Automated Domain Adaptation Framework for LLMs

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

Adapting Web Agents with Synthetic Supervision

Generative Caching for Structurally Similar Prompts and Responses

REFA: Reference Free Alignment for multi-preference optimization

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Synergistic Weak-Strong Collaboration by Aligning Preferences

Anyprefer: An Agentic Framework for Preference Data Synthesis

AMPO: Active Multi-Preference Optimization

Verifiable Format Control for Large Language Model Generations

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

X-lifecycle Learning for Cloud Incident Management using LLMs

Exploring LLM-based Agents for Root Cause Analysis

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Generative Caching for Structurally Similar Prompts and Responses

Triangle: Empowering Incident Triage with Multi-Agent

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

AutoARTS: Taxonomy, Insights and Tools for Root Cause Labelling of Incidents in Microsoft Azure

Triangle: Empowering Incident Triage with Multi-Agent

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Exploring LLM-based Agents for Root Cause Analysis

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

Automatic Root Cause Analysis via Large Language Models for Cloud Incidents

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

Recommending Root-Cause and Mitigation Steps for Cloud Incidents using Large Language Models

AutoAdapt: An Automated Domain Adaptation Framework for LLMs

Adapting Web Agents with Synthetic Supervision

Memora: A Harmonic Memory Representation Balancing Abstraction and Specificity

FLASH: A Workflow Automation Agent for Diagnosing Recurring Incidents

PACE-LM: Prompting and Augmentation for Calibrated Confidence Estimation with GPT-4 in Cloud Incident Root Cause Analysis

Synergistic Weak-Strong Collaboration by Aligning Preferences

LEGOMem: Modular Procedural Memory for Multi-agent LLM Systems for Workflow Automation

Generative Caching for Structurally Similar Prompts and Responses

Triangle: Empowering Incident Triage with Multi-Agent

REFA: Reference Free Alignment for multi-preference optimization

Enhancing Reasoning Capabilities of Small Language Models with Blueprints and Prompt Template Search

Anyprefer: An Agentic Framework for Preference Data Synthesis

AMPO: Active Multi-Preference Optimization

Verifiable Format Control for Large Language Model Generations

Hybrid-RACA: Hybrid Retrieval-Augmented Composition Assistance for Real-time Text Prediction

CARMO: Dynamic Criteria Generation for Context-Aware Reward Modelling

Automated Root Causing of Cloud Incidents using In-Context Learning with GPT-4

X-lifecycle Learning for Cloud Incident Management using LLMs

Exploring LLM-based Agents for Root Cause Analysis

CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language Models