Oana-Maria Camburu
According to our database1,
Oana-Maria Camburu
authored at least 29 papers
between 2016 and 2023.
Collaborative distances:
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Timeline
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Online presence:
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on cs.ox.ac.uk
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Bibliography
2023
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.
CoRR, 2023
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.
CoRR, 2023
CoRR, 2023
Artif. Intell., 2023
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023
2022
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations.
Proceedings of the International Conference on Machine Learning, 2022
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022
2021
CoRR, 2021
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021
2020
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration.
CoRR, 2020
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets.
CoRR, 2020
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations.
CoRR, 2020
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020
2019
Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019
Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
2016
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016