ToyBlocks: A controlled world for robot learning and evaluation
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AI & ML interests
Building breatkthrough AI to solve the world's biggest problems.
Recent Activity
Papers
Old Ideas, Novel Problems: The Instability of LLM-Based Novelty Evaluation
Learning to Solve Hard Problems in RL for LLMs by Never Giving Up
Articles
Article
ToyBlocks: A controlled world for robot learning and evaluation
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StateBench: Testing how language models track state changes over long documents
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• • 17 Article
Can we trust LLMs to judge whether a research idea is novel?
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• • 18 Article
LitPivot: Developing research ideas through dynamic contextualization within the literature landscape
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• • 39 Article
OlmoEarth v1.3: State-of-the-art embeddings for the whole planet
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• • 15 Article
FairStress: A deeper evaluation of fairness in LLM decision-making
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• • 8 Article
HiRO-ACEv2: Simulating extreme weather at 3 km resolution for a fraction of the cost
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• • 14 Article
Impactful scheduling for GPU clusters
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• • 54 Article
Open-sourcing AstaBrief, the fast report-generation model in Asta
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• • 28 Article
Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs
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• • 26 Article
BenchMIRT: What are LLM benchmarks actually measuring?
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• • 27 Article
Introducing OlmoEarth embeddings: Custom embedding exports from OlmoEarth Studio for downstream analysis
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TutorMoments: Do AI tutors know when to help and when to hold back?
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• • 32 Article
The OlmoEarth Platform: Geospatial inference at planetary scale
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• • 40 Article
What building Shippy taught us about building agents
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• • 23 Article
DiScoFormer: One transformer for density and score, across distributions
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• • 6 Article
Which tokens does a hybrid model predict better?
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• • 9 Article
MolmoMotion: Language-guided 3D motion forecasting
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• • 11 Article
olmo-eval: An evaluation workbench for the model development loop
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• • 18 Article
OlmoEarth v1.1: A more efficient family of Earth observation models
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