Research Built to Be Used
We build benchmarks, datasets, and infrastructure to advance machine learning research.
Our Mission
We are a research organization building open benchmarks, datasets, and infrastructure. Our work explores machine learning, autonomous systems, and how computational tools can advance scientific research.
What We Build
Benchmarks
We build benchmarks to measure how AI agents perform on real research tasks.
Datasets
1.1M enriched papers. 129K research repositories. 778K code functions. The raw material for studying how AI systems interact with real scientific work.
Infrastructure
Runtimes for structured agent workloads. Orchestration topologies for recursive improvement loops. The scaffolding to run experiments at scale.
Research
Causal Tests of Language-Model Reports
Controlled changes to a learned preference move a model’s self-report, but the report captures only about 36% of the behavioral change.
Teaching Models to Bluff: Measuring Deception, Belief, and Coordination in LLM Secret Hitler
We implemented five LLM agents playing the social-deduction game Secret Hitler with structured logging to quantify deception, belief...
About
Algorithmic Research Group builds tools and infrastructure for research. Benchmarks for evaluating autonomous agents. Datasets for studying machine learning systems. Runtimes for running agent workloads at scale.