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Data platforms and analytics

TaskWeaver: A code-first agent framework for efficient data analytics and domain adaptation

Garnet: an open-source, next-generation, faster cache-store for accelerating applications and services

GenAI for Industry - AI-generated image compilation of industrial blueprints from renewable energy to transporation and manufacturing

Injecting New Knowledge into Large Language Models via Supervised Fine-Tuning

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

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Published Date

Publication

Sibyl: Forecasting Time-Evolving Query Workloads

Hanxian Huang, Tarique Siddiqui, Rana Alotaibi, Carlo Curino, Jyoti Leeka, Alekh Jindal, Jishen Zhao, Jesús Camacho-Rodríguez, Yuanyuan Tian

SIGMOD | June 2024

Publication

Vertically Autoscaling Monolithic Applications with CaaSPER: Scalable Container-as-a-Service Performance Enhanced Resizing Algorithm for the Cloud

Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Michael Nelson, Andrew Carter, David Liao, Travis Wright, Jesús Camacho-Rodríguez, Karla Saur

SIGMOD | June 2024

to appear

Publication

Lorentz: Learned SKU Recommendation Using Profile Data

Nick Glaze, Tria McNeely, Yiwen Zhu, Matthew Gleeson, Helen Serr, Rajeev Bhopi, Subru Krishnan, Yiwen Zhu, Subru Krishnan

SIGMOD 2024 | May 2024, Vol 2: pp. 149

Microsoft Research Blog

Research Focus: Week of May 13, 2024

May 15, 2024 | Leonardo Nunes, Sara Malvar, Bruno Silva, Ranveer Chandra, Serena Hillman, Thomas Ball, Peli de Halleux, James Devine, Michal Moskal, Vivek Seshadri, Manohar Swaminathan, Sunayana Sitaram, Hanna Wallach, Jenn Wortman Vaughan, Qi Chen, Xiubo Geng, Corby Rosset, Carolyn Buractaon, Jingwen Lu, Yeyun Gong, Nick Craswell, Xing Xie, Fan Yang, Bryan Tower, Jason (Zengzhong) Li, Rangan Majumder, Jennifer Neville, Harsha Simhadri, Manik Varma, Mao Yang, Bonnie Kruft

Welcome to Research Focus, a series of blog posts that highlights notable publications, events, code/datasets, new hires and other milestones from across the research community at Microsoft. Large language models (LLMs) have shown remarkable performance…

Publication

VASIM: Vertical Autoscaling Simulator Toolkit

Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho-Rodríguez

IEEE International Conference on Data Engineering (ICDE 2024) | May 2024

Microsoft Research Blog

Enhanced autoscaling with VASIM: Vertical Autoscaling Simulator Toolkit

May 13, 2024 | Anna Pavlenko, Karla Saur, Yiwen Zhu, Brian Kroth, Joyce Cahoon, Jesús Camacho Rodríguez

Autoscaling can optimize cloud resource usage and costs by adjusting to demand. VASIM shows that simplifying testing and refinement of autoscaling algorithms can enable rapid development and evaluation of more efficient & cost-effective autoscaling strategies.

Publication

KET-QA: A Dataset for Knowledge Enhanced Table Question Answering

Mengkang Hu, Haoyu Dong, Ping Luo, Shi Han, Dongmei Zhang

COLING-LREC’2024 | May 2024

Project

Publication

Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities

Shiyu Xia, Junyu Xiong, Haoyu Dong, Jianbo Zhao, Yuzhang Tian, Mengyu Zhou, Yeye He, Shi Han, Dongmei Zhang

Proceedings of the 3rd Workshop on Advances in Language and Vision Research (ALVR) at ACL’2024 | May 2024

Video

AI For All: Embracing Equity for All

April 29, 2024 | Dr. Jacki O’Neill, Dr. Lavri Labi, Stanslaus Mwongela, Dr. Girmaw Abebe Tadesse, Dr. Kalika Bali, Millicent Ochieng, Dr. John Wamburu, Dr. William Ogallo, Maxamed Ahmed, Dr. Gilles Hacheme, and Samuel Maina

This grand seminar was hosted by Microsoft Research Africa, Nairobi together with the Microsoft AI for Good team in April 2024. It was the second in their grand seminars which brought together people from academia,…

03:07:51

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

Data platforms and analytics

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