A machine learning researcher working on scalable data methods for language models, from pre-training to post-training.
How media typically covers Luca Soldaini
Based on 3 scored articles
Referenced in coverage
“Co-authored Nature paper on byte-level language models and model conversion methods.”
“Developer and contributor to olmOCR project.”
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 and improving LLM procedure generation.”