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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

Dataset Source Code

VisEval

VisEval: A NL2VIS Benchmark. VisEval is a benchmark designed to evaluate visualization generation methods. In this repository, we provide both the toolkit to support the benchmarking, as well as the data used for benchmarks.

GitHub Publication

Publication

Auto-Formula: Recommend Formulas in Spreadsheets using Contrastive Learning for Table Representations

Sibei Chen, Yeye He, Weiwei Cui, Ju Fan, Song Ge, Haidong Zhang, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

Publication

Wii: Dynamic Budget Reallocation In Index Tuning (Extended Version)

Xiaoying Wang, Wentao Wu, Chi Wang, Vivek Narasayya, Surajit Chaudhuri

Proceedings of the ACM on Management of Data (SIGMOD 2024) | June 2024, Vol 2(3)

Publication

LST-Bench: Benchmarking Log-Structured Tables in the Cloud

Jesús Camacho-Rodríguez, Ashvin Agrawal, Anja Gruenheid, Ashit Gosalia, Cristian Petculescu, Josep Aguilar-Saborit, Avrilia Floratou, Carlo Curino, Raghu Ramakrishnan

ACM SIGMOD | June 2024

Publication

Table-GPT: Table Fine-tuned GPT for Diverse Table Tasks

Peng Li, Yeye He, Dror Yashar, Weiwei Cui, Song Ge, Haidong Zhang, Danielle Rifinski Fainman, Dongmei Zhang, Surajit Chaudhuri

SIGMOD 2024 | June 2024

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

Data platforms and analytics

Highlights