Astrollama-chat: Scaling astrollama with conversational and diverse datasets E Perkowski, R Pan, TD Nguyen, YS Ting, S Kruk, T Zhang, C O’Neill, ... Research Notes of the AAS 8 (1), 7, 2024 | 5 | 2024 |
Astrollama: Towards specialized foundation models in astronomy TD Nguyen, YS Ting, I Ciucă, C O'Neill, ZC Sun, M Jabłońska, S Kruk, ... arXiv preprint arXiv:2309.06126, 2023 | 5 | 2023 |
Sparse Autoencoders Enable Scalable and Reliable Circuit Identification in Language Models C O'Neill, T Bui arXiv preprint arXiv:2405.12522, 2024 | 1 | 2024 |
Adversarial Fine-Tuning of Language Models: An Iterative Optimisation Approach for the Generation and Detection of Problematic Content C O'Neill, J Miller, I Ciuca, YS Ting, T Bui arXiv preprint arXiv:2308.13768, 2023 | 1 | 2023 |
Steering language generation: Harnessing contrastive expert guidance and negative prompting for coherent and diverse synthetic data generation C O'Neill, YS Ting, I Ciuca, R Raileanu, J Miller, T Bui arXiv preprint arXiv:2308.07645, 2023 | 1 | 2023 |
Eigenvalue initialisation and regularisation for Koopman autoencoders JW Miller, C O'Neill, NC Constantinou, O Azencot arXiv preprint arXiv:2212.12086, 2022 | 1 | 2022 |
Designing an Evaluation Framework for Large Language Models in Astronomy Research JF Wu, A Hyk, K McCormick, C Ye, S Astarita, E Baral, J Ciuca, J Cranney, ... arXiv preprint arXiv:2405.20389, 2024 | | 2024 |
Measuring Sharpness in Grokking J Miller, P Gleeson, C O'Neill, T Bui, N Levi arXiv preprint arXiv:2402.08946, 2024 | | 2024 |
Grokking Beyond Neural Networks: An Empirical Exploration with Model Complexity J Miller, C O'Neill, T Bui arXiv preprint arXiv:2310.17247, 2023 | | 2023 |
Clinical relevance of the time course of visual improvement following real-world anti-vascular endothelial growth factor (Anti-VEGF) therapy for neovascular age-related macular … CP O'Neill, G Do, S Lindenberg, AN Karamat, G Corradetti, J Tojjar, ... Investigative Ophthalmology & Visual Science 64 (8), 2184-2184, 2023 | | 2023 |