Papers by Ryan Daniels
Pico: A Modular Framework for Hypothesis-Driven Small Language Model Research (2025.emnlp-demos)
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Richard Diehl Martinez, David Demitri Africa, Yuval Weiss, Suchir Salhan, Ryan Daniels, Paula Buttery
| Challenge: | Recent advances in large language models (LLMs) have enabled strong performance across diverse tasks, but small enough to train on modest budgets. |
| Approach: | They propose a lightweight, modular framework that enables systematic, hypothesis-driven research for small and medium-scale language model development. |
| Outcome: | The proposed framework enables systematic, hypothesis-driven research for small and medium-scale language model development. |