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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

REDSTONE: Curating General, Code, Math, and QA Data for Large Language Models

Yaoyao Chang, Lei Cui, Li Dong, Shaohan Huang, Yangyu Huang, Yupan Huang, Scarlett Li, Tengchao Lv, Shuming Ma, Qinzheng Sun, Wenhui Wang, Furu Wei, Ying Xin, Mao Yang, Qiufeng Yin, Xingxing Zhang

December 2024

Publication

Microsoft New Future of Work Report 2024

Jenna Butler, Mihaela Vorvoreanu, Rebecca Janssen, Abigail Sellen, Nicole Immorlica, Adam Troy, Advait Sarkar, Alex Farach, Alex Chouldechova, Alexandra Olteanu, Alexia Cambon, Arjun Radhakrishna, Asta Roseway, Ben Zorn, Brent Hecht, Daniel G. Goldstein, Dhruv Joshi, Ed Cutrell, Emre Kiciman, Gonzalo Ramos, Gustavo Soares, Hanna Wallach, Ian Drosos, Jack Williams (johnwilliams), Jacki O'Neill, Jake Hofman, Jaime Teevan, Javier Hernandez, Jennifer Wortman Vaughan, Jina Suh, John Tang, Justin Edwards, Kalika Bali, Kori Inkpen, Krishna Madhavan, Laylah Bulman, Leon Reicherts, Lev Tankelevitch, Longqi Yang, Martez Mott, Millicent Ochieng, Mercy Muchai, Nancy Baym, Najeeb Abdulhamid, Nicolai Marquardt, Ken Hinckley, Michael Bentley, Dave Brown, Hugo Romat, Nathalie Henry Riche, Samuel Maina, Shamsi Iqbal, Siân Lindley, Stephanie Nyairo, Su Lin Blodgett, Sumit Gulwani, Sunayana Sitaram, Vu Le

MSR-TR-2024-56 | December 2024

Published by Microsoft

Project Project

Publication

Balance Reward and Safety Optimization for Safe Reinforcement Learning: A Perspective of Gradient Manipulation

Shangding Gu, Hong Cheng, Hang Dong, Bo Qiao, Si Qin, Qingwei Lin 林庆维

December 2024

Project

Extensible Query Optimizers in Practice: Errata and Updates

This page contains errata and updates to the Foundations and Trends in Databases article titled: “Extensible Query Optimizers in Practice” by Bailu Ding, Vivek Narasayya, Surajit Chaudhuri.

Publication

SpotLight: Accurate, Explainable and Efficient Anomaly Detection for Open RAN

Chuanhao Sun, Ujjwal Pawar, Molham Khoja, Xenofon Foukas, Mahesh K. Marina, Bozidar Radunovic

ACM MobiCom ’24 | November 2024

Project

Publication

SilvanForge: A Schedule-Guided Retargetable Compiler for Decision Tree Inference

Ashwin Prasad, Sampath Rajendra, Kaushik Rajan, R Govindarajan, Uday Bondhugula

2024 Symposium on Operating Systems Principles | November 2024

Project

Microsoft Research Blog

Research Focus: Week of November 11, 2024

November 13, 2024

Holistic motion-capture calibration technique without calibration, manual intervention or custom hardware; Research on AI agents for autonomous clouds; Automating proof-oriented program construction; One-to-many testing for natural language code generation.