16 citations · 31 across the 14 of their papers we have counts for
3 papers · 1 filter
Steering Language Models with Weight Arithmetic
Constanza Fierro, Fabien Roger
Providing high-quality feedback to Large Language Models (LLMs) on a diverse training distribution can be difficult and expensive, and providing feedback only on a narrow distribut…
Real-Time Progress Prediction in Reasoning Language Models
Hans Peter Lyngsøe Raaschou-Jensen, Constanza Fierro, Anders Søgaard
Recent reasoning language models, particularly those that employ long latent chains of thought, achieve strong performance on complex agentic tasks. However, as these models operat…
Mechanistic Interpretability Needs Philosophy
Iwan Williams, Ninell Oldenburg, Ruchira Dhar +6
Mechanistic interpretability (MI) aims to explain how neural networks work by uncovering their underlying mechanisms. As the field grows in influence, it is increasingly important…