8 citations · 25 across the 28 of their papers we have counts for
28 papers
Traceable Trust for action-ready artificial intelligence in bioscience
Huayu Xin, Yizhi Cai, Mukilan Deivarajan Suresh +9
Artificial intelligence (AI) is becoming part of the working infrastructure of the biosciences. AI models can predict biomolecular structures, design proteins, rank variants, annot…
Approximate Muon with low-rank adapters
Ben Anson, Conor Houghton, Edward Milsom
The Muon optimizer shows clear benefits versus alternatives when pretraining neural networks. However, it is used less frequently for parameter-efficient fine-tuning (PEFT). One po…
Evolving language compositionality in a frequency-structured meaning space
Fabio De Ponte, Eloise Gaines-White, Conor Houghton +1
The iterated learning model was introduced to investigate language evolution: the way in which the characteristic properties of human languages have been shaped, at least partly, b…
Energy budgets govern synaptic precision and its regulation during plasticity
James Malkin, Cian O'Donnell, Conor Houghton
Synaptic transmission must balance the need for reliable signalling against the metabolic cost of achieving that reliability. How energetic constraints shape synaptic precision and…
Image, Word and Thought: A More Challenging Language Task for the Iterated Learning Model
Hyoyeon Lee, Seth Bullock, Conor Houghton
The iterated learning model simulates the transmission of language from generation to generation in order to explore how the constraints imposed by language transmission facilitate…
Beyond Linear Steering: Unified Multi-Attribute Control for Language Models
Narmeen Oozeer, Luke Marks, Shreyans Jain +2
Controlling multiple behavioral attributes in large language models (LLMs) at inference time is a challenging problem due to interference between attributes and the limitations of…