17 citations · 17 across the 8 of their papers we have counts for
8 papers
Brainrot: Deskilling and Addiction are Overlooked AI Risks
Ilias Chalkidis, Anders Søgaard
The scope of AI safety and alignment work in generative artificial intelligence (GenAI) has so far mostly been limited to harms related to: (a) discrimination and hate speech, (b)…
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…
Lost at the Beginning of Reasoning
Baohao Liao, Xinyi Chen, Sara Rajaee +5
Recent advancements in large language models (LLMs) have significantly advanced complex reasoning capabilities, particularly through extended chain-of-thought (CoT) reasoning that…
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…
Federated learning, ethics, and the double black box problem in medical AI
Joshua Hatherley, Anders Søgaard, Angela Ballantyne +1
Federated learning (FL) is a machine learning approach that allows multiple devices or institutions to collaboratively train a model without sharing their local data with a third-p…
Defining Knowledge: Bridging Epistemology and Large Language Models
Constanza Fierro, Ruchira Dhar, Filippos Stamatiou +2
Knowledge claims are abundant in the literature on large language models (LLMs); but can we say that GPT-4 truly "knows" the Earth is round? To address this question, we review sta…
From Words to Worlds: Compositionality for Cognitive Architectures
Ruchira Dhar, Anders Søgaard
Large language models (LLMs) are very performant connectionist systems, but do they exhibit more compositionality? More importantly, is that part of why they perform so well? We pr…
Word Order and World Knowledge
Qinghua Zhao, Vinit Ravishankar, Nicolas Garneau +1
Word order is an important concept in natural language, and in this work, we study how word order affects the induction of world knowledge from raw text using language models. We u…