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Ludovico Mitchener

2 accepted papers

2025

Training a Scientific Reasoning Model for Chemistry

NeurIPS 2025poster

Reasoning models are large language models that use extra "thought tokens" before answering, providing both higher accuracy and explicit reasoning for their response. A major question has been whether language model reasoning generalizes beyond mathematics, programming, and logic, where most previou…

Cited by 46SourceScholar
2022

Detect, Understand, Act: A Neuro-Symbolic Hierarchical Reinforcement Learning Framework (Extended Abstract)

IJCAI 2022poster

We introduce Detect, Understand, Act (DUA), a neuro-symbolic reinforcement learning framework. The Detect component is composed of a traditional computer vision object detector and tracker. The Act component houses a set of options, high-level actions enacted by pre-trained deep reinforcement learni…

Cited by 0SourcePDFScholar