17 citations · 18 across the 8 of their papers we have counts for
8 papers
Measuring Activation Control in Large Language Models
Marek Mateusz Kowalski, Joshua Fonseca Rivera, Uzay Macar +1
Safe deployment of increasingly capable models will likely come to rely on latent-space monitoring as a complement to behavioral evaluations, especially when evaluation-aware model…
Thought Branches: Interpreting LLM Reasoning Requires Resampling
Uzay Macar, Paul C. Bogdan, Senthooran Rajamanoharan +1
Most work interpreting reasoning models studies only a single chain-of-thought (CoT), yet these models define distributions over many possible CoTs. We argue that studying a single…
Thought Anchors: Which LLM Reasoning Steps Matter?
Paul C. Bogdan, Uzay Macar, Neel Nanda +1
Current frontier large-language models rely on reasoning to achieve state-of-the-art performance. Many existing interpretability are limited in this area, as standard methods have…
LogicLearner: A Tool for the Guided Practice of Propositional Logic Proofs
Amogh Inamdar, Uzay Macar, Michel Vazirani +6
The study of propositional logic -- fundamental to the theory of computing -- is a cornerstone of the undergraduate computer science curriculum. Learning to solve logical proofs re…
Hierarchical Multi-Armed Bandits for the Concurrent Intelligent Tutoring of Concepts and Problems of Varying Difficulty Levels
Blake Castleman, Uzay Macar, Ansaf Salleb-Aouissi
Remote education has proliferated in the twenty-first century, yielding rise to intelligent tutoring systems. In particular, research has found multi-armed bandit (MAB) intelligent…
Teenagers and Artificial Intelligence: Bootcamp Experience and Lessons Learned
Uzay Macar, Blake Castleman, Noah Mauchly +8
Artificial intelligence (AI) stands out as a game-changer in today's technology landscape. However, the integration of AI education in classroom curricula currently lags behind, le…
Biomedical image analysis competitions: The state of current participation practice
Matthias Eisenmann, Annika Reinke, Vivienn Weru +352
The number of international benchmarking competitions is steadily increasing in various fields of machine learning (ML) research and practice. So far, however, little is known abou…
Team NeuroPoly: Description of the Pipelines for the MICCAI 2021 MS New Lesions Segmentation Challenge
Uzay Macar, Enamundram Naga Karthik, Charley Gros +2
This paper gives a detailed description of the pipelines used for the 2nd edition of the MICCAI 2021 Challenge on Multiple Sclerosis Lesion Segmentation. An overview of the data pr…