Research
Discover an index of datasets, SDKs, APIs and open-source tools developed by Microsoft researchers and shared with the global academic community below. These experimental technologies—available through Azure AI Foundry Labs (opens in new tab)—offer a glimpse into the future of AI innovation.
FlexCAD aims at achieving controllable CAD generation across all CAD construction hierarchies. It takes an original CAD model along with the part the user intends to modify (highlighted in blude) as input, and generates multiple…
Repo for “Chain-of-Reasoning: Towards Unified Mathematical Reasoning in Large Language Models via a Multi-Paradigm Perspective”
We employ GloVe and random projection theory to infer immunologically meaningful T-cell receptor embeddings from adaptive immune repertoires. This repository contains the Pytorch code to replicate experiments in our paper “Scalable Universal T-Cell Receptor Embeddings…
This repository contains the code for the paper “Improving Instruction-Following in Language Models through Activation Steering,” presented at ICLR 2025.
Repository for “On Memory Construction and Retrieval for Personalized Conversational Agents”
CFPO (Content-Format Integrated Prompt Optimization) is a novel methodology that concurrently optimizes both prompt content and format for Large Language Models (LLMs) through an iterative refinement process. It addresses the limitations of existing prompt optimization…
TimeCraft offers a unified, practical solution for real-world time series generation—combining cross-domain generalization, text-based control, and task-aware adaptation. It’s designed to produce high-quality, controllable synthetic data that’s both realistic and useful for downstream applications.
The RAS library is an open-source implementation of Regional-Adaptive Sampling (RAS), a novel diffusion model sampling strategy that introduces regional variability in sampling steps. Unlike conventional methods that uniformly process all image regions, RAS dynamically…