AutoAdapt: An Automated Domain Adaptation Framework for LLMs
Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
March 2026
Xuchao Zhang
Principal Research Manager
出版物
-
-
-
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
-
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
-
-
-
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
-
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
NeurIPS 2025 | November 2025
-
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
-
REFA: Reference Free Alignment for multi-preference optimization
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
COLM 2025 | July 2025
-
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
-
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, 巻abs/2504.15188
-
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
-
AMPO: Active Multi-Preference Optimization
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
ICML 2025 | February 2025
-
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
-
-
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
-
-
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
-
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
-
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
-
-
-
AutoAdapt: An Automated Domain Adaptation Framework for LLMs
Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
March 2026
-
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
-
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
-
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
-
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
NeurIPS 2025 | November 2025
-
REFA: Reference Free Alignment for multi-preference optimization
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
COLM 2025 | July 2025
-
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
-
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, 巻abs/2504.15188
-
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
-
AMPO: Active Multi-Preference Optimization
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
ICML 2025 | February 2025
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
-
-
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
NeurIPS 2025 | November 2025
-
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
-
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
-
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
-
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
-
-
-
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
-
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
-
-
-
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
-
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
-
-
-
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
-
-
-
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
-
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
-
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
-
-
-
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
-
-
-
AutoAdapt: An Automated Domain Adaptation Framework for LLMs
Sidharth Sinha, Anson Bastos, Xuchao Zhang, Akshay Nambi, Chetan Bansal, Saravan Rajmohan
March 2026
-
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
-
-
-
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
-
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
-
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
-
-
-
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, 巻abs/2504.15188
-
-
-
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
-
Generative Caching for Structurally Similar Prompts and Responses
Sarthak Chakraborty, Suman Nath, Xuchao Zhang, Chetan Bansal, Indranil Gupta
NeurIPS 2025 | November 2025
-
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
-
REFA: Reference Free Alignment for multi-preference optimization
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
COLM 2025 | July 2025
-
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
-
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
-
AMPO: Active Multi-Preference Optimization
Taneesh Gupta, Rahul Madhavan, Xuchao Zhang, Chetan Bansal, Saravan Rajmohan
ICML 2025 | February 2025
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-
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
-