Oana-Maria Camburu
Senior Research Fellow with a Leverhulme Early Career Fellowship, University College London
I am very passionate of building Explainable AI, more precisely of building neural networks that generate faithful human-like natural language explanations for their predictions. I did my Ph.D. on "Explaining Deep Neural Networks", working with Prof. Phil Blunsom and Prof. Thomas Lukasiewicz at the Department of Computer Science, University of Oxford.
For the full list of publications, see my Google Scholar.
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Selected publications
O. Camburu, T. Rocktäschel, T. Lukasiewicz, P. Blunsom. e-SNLI: Natural Language Inference with Natural Language Explanations. Proceedings of the International Conference on Neural Information Processing Systems (NeurIPS), 2018.
O. Camburu, B. Shillingford, P. Minervini, T. Lukasiewicz, P. Blunsom. Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. Proceedings of the Association of Computational Linguistics (ACL), 2020.
M. Kayser, O. Camburu, L. Salewski, C. Emde, V. Do, Z. Akata, T. Lukasiewicz. e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. Proceedings of the International Conference on Computer Vision (ICCV), 2021.
B. Majumder, O. Camburu, T. Lukasiewicz, J. McAuley. Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. Proceedings of the International Conference on Machine Learning (ICML), 2022.
P. Atanasova, O. Camburu, C. Lioma, T. Lukasiewicz, J. Simonsen, I. Augenstein. Faithfulness Tests for Natural Language Explanations. Proceedings of the Association of Computational Linguistics (ACL), 2023.
M. Jang, B. Majumder, J. McAuley, T. Lukasiewicz, O. Camburu. Know How to Make Up Your Mind! Adversarially Detecting and Remedying Inconsistencies in Natural Language Explanations. Proceedings of the Association of Computational Linguistics (ACL), 2023.
M. Kayser, C. Emde, O. Camburu, G. Parsons, B. Papiez, T. Lukasiewicz. Explaining Chest X-ray Pathologies in Natural Language. Medical Image Computing and Computer Assisted Intervention (MICCAI), 2022.
J. Mao, J. Huang, A. Toshev, O. Camburu, A. Yuille, K. Murphy. Generation and Comprehension of Unambiguous Object Descriptions. Proceedings of the Conference on Computer Vision and Pattern Recognition (CVPR), 2016.
V. Kocijan, A. Cretu, O. Camburu, Y. Yordanov, T. Lukasiewicz. A Surprisingly Robust Trick for the Winograd Schema Challenge. Proceedings of the Association of Computational Linguistics (ACL), 2019.
L. Sha, O. Camburu, T. Lukasiewicz. Rationalising Prediction by Information Calibration. Artificial Intelligence (AIJ), 2022