Hearing images: interactive sonification interface for images. - Charles O'Neill; Kia Ng (EVA, 2008)

Design and Development of an Interactive Sonification Interface for hearing Images. - Charles O'Neill; Kia Ng (ICMC, 2008)

Eigenvalue initialisation and regularisation for Koopman autoencoders. - Jack W. Miller; Charles O'Neill; Navid C. Constantinou; Omri Azencot (CoRR, 2022)

Rice paddy disease classifications using CNNs. - Charles O'Neill (CoRR, 2023)

Steering Language Generation: Harnessing Contrastive Expert Guidance and Negative Prompting for Coherent and Diverse Synthetic Data Generation. - Charles O'Neill; Yuan-Sen Ting; Ioana Ciuca; Jack W. Miller; Thang D. Bui (CoRR, 2023)

Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content. - Charles O'Neill; Jack W. Miller; Ioana Ciuca; Yuan-Sen Ting; Thang D. Bui (CoRR, 2023)

AstroLLaMA: Towards Specialized Foundation Models in Astronomy. - Tuan Dung Nguyen; Yuan-Sen Ting; Ioana Ciuca; Charlie O'Neill; Zechang Sun; Maja Jablonska; Sandor Kruk; Ernest Perkowski; Jack W. Miller; Jason Li; Josh Peek; Kartheik Iyer; et al. (CoRR, 2023)

AstroLLaMA-Chat: Scaling AstroLLaMA with Conversational and Diverse Datasets. - Ernest Perkowski; Rui Pan 002; Tuan Dung Nguyen; Yuan-Sen Ting; Sandor Kruk; Tong Zhang 001; Charlie O'Neill; Maja Jablonska; Zechang Sun; Michael J. Smith 013; Huiling Liu; Kevin Schawinski; et al. (CoRR, 2024)

Measuring Sharpness in Grokking. - Jack W. Miller; Patrick J. Gleeson; Charles O'Neill; Thang D. Bui; Noam Levi (CoRR, 2024)

Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models. - Charles O'Neill; Thang D. Bui (CoRR, 2024)

Designing an Evaluation Framework for Large Language Models in Astronomy Research. - John F. Wu; Alina Hyk; Kiera McCormick; Christine Ye; Simone Astarita; Elina Baral; Jo Ciuca; Jesse Cranney; Anjalie Field; Kartheik Iyer; Philipp Koehn; Jenn Kotler; et al. (CoRR, 2024)

Disentangling Dense Embeddings with Sparse Autoencoders. - Charles O'Neill; Christine Ye; Kartheik Iyer; John F. Wu (CoRR, 2024)

pathfinder: A Semantic Framework for Literature Review and Knowledge Discovery in Astronomy. - Kartheik Iyer; Mikaeel Yunus; Charles O'Neill; Christine Ye; Alina Hyk; Kiera McCormick; Ioana Ciuca; John F. Wu; Alberto Accomazzi; Simone Astarita; Rishabh Chakrabarty; Jesse Cranney; et al. (CoRR, 2024)

Compute Optimal Inference and Provable Amortisation Gap in Sparse Autoencoders. - Charles O'Neill; David A. Klindt (CoRR, 2024)

Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity. - Jack W. Miller; Charles O'Neill; Thang D. Bui (Trans. Mach. Learn. Res., 2024)

Self-Attention as a Parametric Endofunctor: A Categorical Framework for Transformer Architectures. - Charles O'Neill (CoRR, 2025)

From superposition to sparse codes: interpretable representations in neural networks. - David A. Klindt; Charles O'Neill; Patrik Reizinger; Harald Maurer; Nina Miolane (CoRR, 2025)

Sparks of Science: Hypothesis Generation Using Structured Paper Data. - Charles O'Neill; Tirthankar Ghosal; Roberta Raileanu; Mike Walmsley; Thang D. Bui; Kevin Schawinski; Ioana Ciuca (CoRR, 2025)

A Single Direction of Truth: An Observer Model's Linear Residual Probe Exposes and Steers Contextual Hallucinations. - Charles O'Neill; Slava Chalnev; Chi Chi Zhao; Max Kirkby; Mudith Jayasekara (CoRR, 2025)

Resurrecting the Salmon: Rethinking Mechanistic Interpretability with Domain-Specific Sparse Autoencoders. - Charles O'Neill; Mudith Jayasekara; Max Kirkby (CoRR, 2025)