Microsoft Research
Microsoft's research organization
Records 14
Newest first. Open one to see it with its source.
A case of solving, through architecture, a chronic limitation of diffusion language models: "state breaks at chunk boundaries". A substantive advance that arrived just as the observation topic "diffusion language models"
The original GraphRAG authors acknowledged the cost problem themselves and turned toward deferred graph construction
A reference implementation of the orchestrator-worker pattern
The point at which a research technique spread as a widely replicable implementation
Handles global summarization queries that local retrieval cannot answer
Justified the approach of small models deployable on phones through data curation
Solved the problem of long prompts stalling decode; 2.6–5.6× the serving capacity of vLLM
A lineage of structured indexes beyond vector similarity search
A multi-agent approach that composes agents through conversations between them and allows human-in-the-loop
A branch that applied reasoning prompting to latency optimization
Trained a 1.3B model on 7B tokens to reach 50.6% on HumanEval, demonstrating that data quality matters more than quantity
The layer that made extremely large-scale training possible without rewriting code for model parallelism
An SSD-based ANN that broke HNSW's constraint of having to hold everything in memory
Made training of very deep networks possible through residual connections. A basic component of most later architectures, including the Transformer