Oana-Maria Camburu

53 papers A* 8A 1Journal 30Unranked 12
YearRankTypeTitle / Venue / Authors
2026 J jnl
Biases in the Blind Spot: Detecting What LLMs Fail to Mention.
CoRR
Iván Arcuschin, David Chanin, Adrià Garriga-Alonso, Oana-Maria Camburu
2025 J jnl
AnnoCaseLaw: A Richly-Annotated Dataset For Benchmarking Explainable Legal Judgment Prediction.
CoRR
Magnus Sesodia, Alina Petrova, John Armour, Thomas Lukasiewicz, Oana-Maria Camburu, Puneet K. Dokania, Philip Torr, Christian Schröder de Witt
2025 J jnl
Faithfulness of LLM Self-Explanations for Commonsense Tasks: Larger Is Better, and Instruction-Tuning Allows Trade-Offs but Not Pareto Dominance.
CoRR
Noah Y. Siegel, Nicolas Heess, María Pérez-Ortiz, Oana-Maria Camburu
2025 A* conf
iLLuMinaTE: An LLM-XAI Framework Leveraging Social Science Explanation Theories Towards Actionable Student Performance Feedback.
AAAI
Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser
2024 A* conf
Atomic Inference for NLI with Generated Facts as Atoms.
EMNLP
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei
2024 A* conf
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting.
EMNLP
Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdalá Morgado, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu
2024 J jnl
Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting.
CoRR
Maxime Kayser, Bayar Menzat, Cornelius Emde, Bogdan Bercean, Alex Novak, Abdala Espinosa, Bartlomiej W. Papiez, Susanne Gaube, Thomas Lukasiewicz, Oana-Maria Camburu
2024 J jnl
From Explanations to Action: A Zero-Shot, Theory-Driven LLM Framework for Student Performance Feedback.
CoRR
Vinitra Swamy, Davide Romano, Bhargav Srinivasa Desikan, Oana-Maria Camburu, Tanja Käser
2024 — conf
Identifying Linear Relational Concepts in Large Language Models.
NAACL-HLT
David Chanin, Anthony Hunter, Oana-Maria Camburu
2024 — conf
SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.
ACL (1)
Jesus Solano, Mardhiyah Sanni, Oana-Maria Camburu, Pasquale Minervini
2024 — conf
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models.
ACL (Short Papers)
Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, María Pérez-Ortiz
2024 J jnl
The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models.
CoRR
Noah Y. Siegel, Oana-Maria Camburu, Nicolas Heess, María Pérez-Ortiz
2024 — conf
Using Natural Language Explanations to Improve Robustness of In-context Learning.
ACL (1)
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
2023 A conf
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns.
EACL
Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2023 J jnl
Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns.
CoRR
Zhongbin Xie, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2023 — conf
Faithfulness Tests for Natural Language Explanations.
ACL (2)
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
2023 J jnl
Faithfulness Tests for Natural Language Explanations.
CoRR
Pepa Atanasova, Oana-Maria Camburu, Christina Lioma, Thomas Lukasiewicz, Jakob Grue Simonsen, Isabelle Augenstein
2023 J jnl
Identifying Linear Relational Concepts in Large Language Models.
CoRR
David Chanin, Anthony Hunter, Oana-Maria Camburu
2023 — conf
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.
ACL (2)
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
2023 J jnl
KNOW How to Make Up Your Mind! Adversarially Detecting and Alleviating Inconsistencies in Natural Language Explanations.
CoRR
Myeongjun Jang, Bodhisattwa Prasad Majumder, Julian J. McAuley, Thomas Lukasiewicz, Oana-Maria Camburu
2023 J jnl
Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms.
CoRR
Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei
2023 J jnl
Rationalizing Predictions by Adversarial Information Calibration.
CoRR
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2023 J jnl
Rationalizing predictions by adversarial information calibration.
Artif. Intell.
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2023 J jnl
SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.
CoRR
Jesus Solano, Oana-Maria Camburu, Pasquale Minervini
2023 J jnl
Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.
CoRR
Xuanli He, Yuxiang Wu, Oana-Maria Camburu, Pasquale Minervini, Pontus Stenetorp
2022 — conf
Explaining Chest X-Ray Pathologies in Natural Language.
MICCAI (5)
Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz
2022 J jnl
Explaining Chest X-ray Pathologies in Natural Language.
CoRR
Maxime Kayser, Cornelius Emde, Oana-Maria Camburu, Guy Parsons, Bartlomiej W. Papiez, Thomas Lukasiewicz
2022 — conf
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations in a Label-Abundant Setup.
EMNLP (Findings)
Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2021 J jnl
Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations.
CoRR
Yordan Yordanov, Vid Kocijan, Thomas Lukasiewicz, Oana-Maria Camburu
2021 A* conf
Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration.
AAAI
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2021 — ed.
Proceedings of the 6th Workshop on Representation Learning for NLP, RepL4NLP@ACL-IJCNLP 2021, Online, August 6, 2021
RepL4NLP@ACL-IJCNLP
Anna Rogers, Iacer Calixto, Ivan Vulic, Naomi Saphra, Nora Kassner, Oana-Maria Camburu, Trapit Bansal, Vered Shwartz
2021 J jnl
Rationale-Inspired Natural Language Explanations with Commonsense.
CoRR
Bodhisattwa Prasad Majumder, Oana-Maria Camburu, Thomas Lukasiewicz, Julian J. McAuley
2021 A* conf
The Gap on Gap: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets.
AAAI
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
2021 — conf
Towards Explainable and Trustworthy Autonomous Physical Systems.
CHI Extended Abstracts
Daniel Omeiza, Sule Anjomshoae, Konrad Kollnig, Oana-Maria Camburu, Kary Främling, Lars Kunze
2021 A* conf
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.
ICCV
Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz
2021 J jnl
e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.
CoRR
Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz
2020 — conf
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution.
EMNLP (1)
Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz
2020 J jnl
Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution.
CoRR
Yordan Yordanov, Oana-Maria Camburu, Vid Kocijan, Thomas Lukasiewicz
2020 J jnl
Explaining Deep Neural Networks.
CoRR
Oana-Maria Camburu
2020 — —
Explaining deep neural networks.
Oana-Maria Camburu
2020 J jnl
Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration.
CoRR
Lei Sha, Oana-Maria Camburu, Thomas Lukasiewicz
2020 A* conf
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
ACL
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2020 J jnl
The Gap on GAP: Tackling the Problem of Differing Data Distributions in Bias-Measuring Datasets.
CoRR
Vid Kocijan, Oana-Maria Camburu, Thomas Lukasiewicz
2020 J jnl
The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets.
CoRR
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2020 J jnl
e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations.
CoRR
Virginie Do, Oana-Maria Camburu, Zeynep Akata, Thomas Lukasiewicz
2019 J jnl
A Surprisingly Robust Trick for Winograd Schema Challenge.
CoRR
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz
2019 — conf
A Surprisingly Robust Trick for the Winograd Schema Challenge.
ACL (1)
Vid Kocijan, Ana-Maria Cretu, Oana-Maria Camburu, Yordan Yordanov, Thomas Lukasiewicz
2019 J jnl
Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods.
CoRR
Oana-Maria Camburu, Eleonora Giunchiglia, Jakob N. Foerster, Thomas Lukasiewicz, Phil Blunsom
2019 J jnl
Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.
CoRR
Oana-Maria Camburu, Brendan Shillingford, Pasquale Minervini, Thomas Lukasiewicz, Phil Blunsom
2019 — conf
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution.
EMNLP/IJCNLP (1)
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
2019 J jnl
WikiCREM: A Large Unsupervised Corpus for Coreference Resolution.
CoRR
Vid Kocijan, Oana-Maria Camburu, Ana-Maria Cretu, Yordan Yordanov, Phil Blunsom, Thomas Lukasiewicz
2018 A* conf
e-SNLI: Natural Language Inference with Natural Language Explanations.
NeurIPS
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom
2018 J jnl
e-SNLI: Natural Language Inference with Natural Language Explanations.
CoRR
Oana-Maria Camburu, Tim Rocktäschel, Thomas Lukasiewicz, Phil Blunsom