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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

Microsoft Research Blog

Research Focus: Week of February 19, 2024

February 21, 2024 | Anna Pavlenko, Joyce Cahoon, Yiwen Zhu, Brian Kroth, Jesús Camacho Rodríguez, Karla Saur, Sudipta Sinha, Stephen Schneider, Serena Hillman

In this issue: CaaSPER: vertical autoscaling algorithm dynamically maintains optimal CPU utilization; Improved scene landmark detection for camera localization runs faster, uses less storage; ESUS simplifies usability questionnaires for technical products and services.

Research Focus Week of February 19, 2024

Publication

Text2Analysis: A Benchmark of Table Question Answering with Advanced Data Analysis and Unclear Queries

Xinyi He, Mengyu Zhou, Xinrun Xu, Xiaojun Ma, Rui Ding, Lun Du, Yan Gao, Ran Jia, Xu Chen, Shi Han, Zejian Yuan, Dongmei Zhang

The 38th Annual AAAI Conference on Artificial Intelligence (AAAI ’24) | February 2024

Project

Microsoft Research Blog

Research Focus: Week of February 5, 2024

February 7, 2024 | Jordan Ash, Dipendra Misra, Tarique Siddiqui, Vivek Narasayya, Surajit Chaudhuri, Jianfeng Gao, Sumit Gulwani, Nicole Immorlica, Stefan Saroiu, Manik Varma, Xing Xie

Research Focus: New Research Forum series explores bold ideas in the era of AI; LASER improves reasoning in language models; Cache-Efficient Top-k Aggregation over High Cardinality Large Datasets; Six Microsoft researchers named 2023 ACM Fellows.

Publication

Stochastic gradient descent without full data shuffle: with applications to in-database machine learning and deep learning systems

Lijie Xu, Shuang Qiu, Binhang Yuan, Jiawei Jiang, Cedric Renggli, Shaoduo Gan, Kaan Kara, Guoliang Li, Ji Liu, Wentao Wu, Jieping Ye, Ce Zhang

VLDB Journal | February 2024

Publication

Xpert: Empowering Incident Management with Query Recommendations via Large Language Models

Yuxuan Jiang, Chaoyun Zhang, Shilin He, Zhihao Yang, Minghua Ma, Si Qin, Yu Kang, Yingnong Dang, Saravan Rajmohan, Qingwei Lin 林庆维, Dongmei Zhang

ICSE’24 | February 2024

Project Project

Publication

UniLog: Automatic Logging via LLM and In-Context Learning

Junjielong Xu, Ziang Cui, Yuan Zhao, Xu Zhang, Shilin He, Pinjia He, Liqun Li, Yu Kang, Qingwei Lin 林庆维, Yingnong Dang, Saravan Rajmohan, Dongmei Zhang

ICSE 2024 | February 2024

Project Project

Microsoft Research Blog

Research Focus: Week of January 22, 2024

January 24, 2024

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. Join Microsoft Research Forum (opens in new tab)…

Publication

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Maria Angels de Luis Balaguer, Vinamra Benara, Renato L. de F. Cunha, Roberto Estevão, Todd Hendry, Daniel Holstein, Jennifer Marsman, Nick Mecklenburg, Sara Malvar, Leonardo Nunes, Rafael Padilha, Morris Sharp, Bruno Silva, Swati Sharma, Vijay Aski, Ranveer Chandra

January 2024

Project Project

Publication

Welding Natural Language Queries to Analytics IRs with LLMs

Kaushik Rajan, Aseem Rastogi, Akash Lal, Sampath Rajendra, Krithika Subramanian, Krut Patel

(To appear in) International Conference on Innovative Data Systems | January 2024

Project Project

Microsoft Research Blog

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

January 11, 2024 | Shilin He, Liqun Li, Xu Zhang, Bo Qiao, Chaoyun Zhang, Yu Kang, Rujia Wang, Qingwei Lin 林庆维, Saravan Rajmohan, Dongmei Zhang

AI-backed virtual assistants face challenges in handling complex data structures. TaskWeaver helps users build assistants that understand diverse domain questions, follow examples, and efficiently execute customizable algorithms on complex data structures.

Data platforms and analytics

Highlights