Oana-Maria Camburu

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 42

Top Topics

Textual Entailment

Physical Systems

Natural Language

Coreference Resolution

Top Venues

Publications

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)
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)
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 (2024)
David Chanin, Anthony Hunter, Oana-Maria Camburu
Identifying Linear Relational Concepts in Large Language Models. NAACL-HLT (2024)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. CoRR (2023)
Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. CoRR (2023)
Jesus Solano, Oana-Maria Camburu, Pasquale Minervini
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations. CoRR (2023)
David Chanin, Anthony Hunter, Oana-Maria Camburu
Identifying Linear Relational Concepts in Large Language Models. CoRR (2023)
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 (2023)
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)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Rationalizing Predictions by Adversarial Information Calibration. CoRR (2023)
Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns. EACL (2023)
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference. CoRR (2023)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
Faithfulness Tests for Natural Language Explanations. ACL (2) (2023)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Rationalizing predictions by adversarial information calibration. Artif. Intell. 315 (2023)
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms. CoRR (2023)
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)
Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz
Explaining Chest X-Ray Pathologies in Natural Language. MICCAI (5) (2022)
Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz
Explaining Chest X-ray Pathologies in Natural Language. CoRR (2022)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration. AAAI (2021)
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)
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 (2021)
Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley
Rationale-Inspired Natural Language Explanations with Commonsense. CoRR (2021)
Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations. CoRR (2021)
Daniel Omeiza, Sule Anjomshoae, Konrad Kollnig, Oana-Maria Camburu, Kary Främling, Lars Kunze
Towards Explainable and Trustworthy Autonomous Physical Systems. CHI Extended Abstracts (2021)
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. AAAI (2021)
Oana-Maria Camburu
Explaining Deep Neural Networks. CoRR (2020)
Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. CoRR (2020)
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets. CoRR (2020)
Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations. CoRR (2020)
Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution. EMNLP (1) (2020)
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. ACL (2020)
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration. CoRR (2020)
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets. CoRR (2020)
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations. CoRR (2019)
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. CoRR (2019)
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution. EMNLP/IJCNLP (1) (2019)
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob Foerster, Thomas Lukasiewicz, Phil Blunsom
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods. CoRR (2019)
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz
A Surprisingly Robust Trick for the Winograd Schema Challenge. ACL (1) (2019)
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz
A Surprisingly Robust Trick for Winograd Schema Challenge. CoRR (2019)
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
e-SNLI: Natural Language Inference with Natural Language Explanations. NeurIPS (2018)
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
e-SNLI: Natural Language Inference with Natural Language Explanations. CoRR (2018)