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Kyle Lo
Researcher

Kyle Lo

Research Scientist at Allen Institute for AI

LinkedIn@kylelostat

Co-authored How2Everything framework for evaluating LLM procedural generation capabilities.

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Feb 2026 — Jul 2026
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ChatGPT1Frontier models (distilled to 8B open model)1

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Luca SoldainiResearcher
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Allen AI releases open-source toolkit to convert messy PDFs into clean LLM training data
GitHubpositiveJul 2, 2026

“Developer and contributor to olmOCR project.”

How2Everything: Mining the Web for How-To Procedures to Evaluate and Improve LLMs
Allen Institute for AI (Ai2)researchpositiveFeb 15, 2026

How2Everything, a new framework for mining 351K how-to procedures from the web, enables scalable evaluation and improvement of LLM procedural generation through an LLM judge that achieves 80.5% human agreement and yields measurable performance gains via reinforcement learning.

“Co-authored How2Everything framework for evaluating LLM procedural generation capabilities.”

LLMsAI ResearchFoundation ModelsReinforcement Learning