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Oana-Maria Camburu
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2020 – today
- 2024
- [c20]Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, María Pérez-Ortiz:
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models. ACL (Short Papers) 2024: 530-546 - [c19]Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini:
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations. ACL (1) 2024: 2053-2077 - [c18]Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp:
Using Natural Language Explanations to Improve Robustness of In-context Learning. ACL (1) 2024: 13477-13499 - [c17]David Chanin, Anthony Hunter, Oana-Maria Camburu:
Identifying Linear Relational Concepts in Large Language Models. NAACL-HLT 2024: 1524-1535 - [i26]Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, María Pérez-Ortiz:
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models. CoRR abs/2404.03189 (2024) - [i25]Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser:
From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback. CoRR abs/2409.08027 (2024) - 2023
- [j1]Lei Sha
, Oana-Maria Camburu, Thomas Lukasiewicz
Rationalizing predictions by adversarial information calibration. Artif. Intell. 315: 103828 (2023) - [c16]Pepa Atanasova
Faithfulness Tests for Natural Language Explanations. ACL (2) 2023: 283-294 - [c15]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. ACL (2) 2023: 540-553 - [c14]Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. EACL 2023: 3743-3755 - [i24]Lei Sha
Rationalizing Predictions by Adversarial Information Calibration. CoRR abs/2301.06009 (2023) - [i23]Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. CoRR abs/2302.05674 (2023) - [i22]Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei:
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms. CoRR abs/2305.13214 (2023) - [i21]Jesus Solano, Oana-Maria Camburu, Pasquale Minervini:
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations. CoRR abs/2305.13235 (2023) - [i20]Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein:
Faithfulness Tests for Natural Language Explanations. CoRR abs/2305.18029 (2023) - [i19]Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu:
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations. CoRR abs/2306.02980 (2023) - [i18]Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference. CoRR abs/2311.07556 (2023) - [i17]David Chanin, Anthony Hunter, Oana-Maria Camburu:
Identifying Linear Relational Concepts in Large Language Models. CoRR abs/2311.08968 (2023) - 2022
- [c13]Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup. EMNLP (Findings) 2022: 3486-3501 - [c12]Bodhisattwa Prasad Majumder, Oana Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations. ICML 2022: 14786-14801 - [c11]Maxime Kayser, Cornelius Emde
Explaining Chest X-Ray Pathologies in Natural Language. MICCAI (5) 2022: 701-713 - [i16]Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz:
Explaining Chest X-ray Pathologies in Natural Language. CoRR abs/2207.04343 (2022) - 2021
- [c10]Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz:
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. AAAI 2021: 13180-13188 - [c9]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. AAAI 2021: 13771-13779 - [c8]Daniel Omeiza, Sule Anjomshoae, Konrad Kollnig
Towards Explainable and Trustworthy Autonomous Physical Systems. CHI Extended Abstracts 2021: 88:1-88:3 - [c7]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. ICCV 2021: 1224-1234 - [e1]Anna Rogers, Iacer Calixto, Ivan Vulic, Naomi Saphra, Nora Kassner, Oana-Maria Camburu, Trapit Bansal, Vered Shwartz:
Proceedings of the 6th Workshop on Representation Learning for NLP, RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021. Association for Computational Linguistics 2021, ISBN 978-1-954085-72-5 [contents] - [i15]Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz:
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. CoRR abs/2105.03761 (2021) - [i14]Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley:
Rationale-Inspired Natural Language Explanations with Commonsense. CoRR abs/2106.13876 (2021) - [i13]Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu:
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations. CoRR abs/2112.06204 (2021) - 2020
- [b1]Oana-Maria Camburu:
Explaining deep neural networks. University of Oxford, UK, 2020 - [c6]Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom:
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL 2020: 4157-4165 - [c5]Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz:
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. EMNLP (1) 2020: 4963-4969 - [i12]Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz:
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. CoRR abs/2004.03744 (2020) - [i11]Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom:
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR abs/2009.11023 (2020) - [i10]Oana-Maria Camburu:
Explaining Deep Neural Networks. CoRR abs/2010.01496 (2020) - [i9]Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz:
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. CoRR abs/2010.02570 (2020) - [i8]Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz:
The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. CoRR abs/2011.01837 (2020) - [i7]Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz:
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. CoRR abs/2012.08884 (2020)
2010 – 2019
- 2019
- [c4]Vid Kocijan, Ana-Maria Cretu
A Surprisingly Robust Trick for the Winograd Schema Challenge. ACL (1) 2019: 4837-4842 - [c3]Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. EMNLP/IJCNLP (1) 2019: 4302-4311 - [i6]Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz:
A Surprisingly Robust Trick for Winograd Schema Challenge. CoRR abs/1905.06290 (2019) - [i5]Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz:
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. CoRR abs/1908.08025 (2019) - [i4]Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom:
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR abs/1910.02065 (2019) - [i3]Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom:
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR abs/1910.03065 (2019) - 2018
- [c2]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS 2018: 9560-9572 - [i2]Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom:
e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR abs/1812.01193 (2018) - 2016
- [c1]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille
Generation and Comprehension of Unambiguous Object Descriptions. CVPR 2016: 11-20 - 2015
- [i1]Junhua Mao, Jonathan Huang, Alexander Toshev, Oana Camburu, Alan L. Yuille, Kevin Murphy:
Generation and Comprehension of Unambiguous Object Descriptions. CoRR abs/1511.02283 (2015)
Coauthor Index
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last updated on 2024-10-14 23:31 CEST by the dblp team
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