Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Atomic Inference for NLI with Generated Facts as Atoms.

[BibT_eX]

[DOI]

Joe Stacey

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Fool Me Once? Contrasting Textual and Visual Explanations in a Clinical Decision-Support Setting.

[BibT_eX]

[DOI]

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SparseFit: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

The Probabilities Also Matter: A More Faithful Metric for Faithfulness of Free-Text Explanations in Large Language Models.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics, 2024

Using Natural Language Explanations to Improve Robustness of In-context Learning.

[BibT_eX]

[DOI]

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Using Natural Language Explanations to Improve Robustness of In-context Learning for Natural Language Inference.

[BibT_eX]

[DOI]

CoRR, 2023

SPARSEFIT: Few-shot Prompting with Sparse Fine-tuning for Jointly Generating Predictions and Natural Language Explanations.

[BibT_eX]

[DOI]

Jesus Solano

Oana-Maria Camburu

Pasquale Minervini

CoRR, 2023

Logical Reasoning for Natural Language Inference Using Generated Facts as Atoms.

[BibT_eX]

[DOI]

CoRR, 2023

Rationalizing predictions by adversarial information calibration.

[BibT_eX]

[DOI]

Lei Sha

Oana-Maria Camburu

Thomas Lukasiewicz

Artif. Intell., 2023

Counter-GAP: Counterfactual Bias Evaluation through Gendered Ambiguous Pronouns.

[BibT_eX]

[DOI]

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.

[BibT_eX]

[DOI]

Myeongjun Jang

Bodhisattwa Prasad Majumder

Julian J. McAuley

Thomas Lukasiewicz

Oana-Maria Camburu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

Faithfulness Tests for Natural Language Explanations.

[BibT_eX]

[DOI]

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Explaining Chest X-Ray Pathologies in Natural Language.

[BibT_eX]

[DOI]

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Knowledge-Grounded Self-Rationalization via Extractive and Natural Language Explanations.

[BibT_eX]

[DOI]

Bodhisattwa Prasad Majumder

Oana Camburu

Thomas Lukasiewicz

Julian J. McAuley

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.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Few-Shot Out-of-Domain Transfer Learning of Natural Language Explanations.

[BibT_eX]

[DOI]

CoRR, 2021

Rationale-Inspired Natural Language Explanations with Commonsense.

[BibT_eX]

[DOI]

Bodhisattwa Prasad Majumder

Oana-Maria Camburu

Thomas Lukasiewicz

Julian J. McAuley

CoRR, 2021

e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks.

[BibT_eX]

[DOI]

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Towards Explainable and Trustworthy Autonomous Physical Systems.

[BibT_eX]

[DOI]

Proceedings of the CHI '21: CHI Conference on Human Factors in Computing Systems, 2021

Learning from the Best: Rationalizing Predictions by Adversarial Information Calibration.

[BibT_eX]

[DOI]

Lei Sha

Oana-Maria Camburu

Thomas Lukasiewicz

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.

[BibT_eX]

[DOI]

Vid Kocijan

Oana-Maria Camburu

Thomas Lukasiewicz

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Explaining deep neural networks.

[BibT_eX]

[DOI]

Oana-Maria Camburu

PhD thesis, 2020

Learning from the Best: Rationalizing Prediction by Adversarial Information Calibration.

[BibT_eX]

[DOI]

Lei Sha

Oana-Maria Camburu

Thomas Lukasiewicz

CoRR, 2020

Explaining Deep Neural Networks.

[BibT_eX]

[DOI]

Oana-Maria Camburu

CoRR, 2020

The Struggles of Feature-Based Explanations: Shapley Values vs. Minimal Sufficient Subsets.

[BibT_eX]

[DOI]

CoRR, 2020

e-SNLI-VE-2.0: Corrected Visual-Textual Entailment with Natural Language Explanations.

[BibT_eX]

[DOI]

CoRR, 2020

Does the Objective Matter? Comparing Training Objectives for Pronoun Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Make Up Your Mind! Adversarial Generation of Inconsistent Natural Language Explanations.

[BibT_eX]

[DOI]

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

Can I Trust the Explainer? Verifying Post-hoc Explanatory Methods.

[BibT_eX]

[DOI]

CoRR, 2019

WikiCREM: A Large Unsupervised Corpus for Coreference Resolution.

[BibT_eX]

[DOI]

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Surprisingly Robust Trick for the Winograd Schema Challenge.

[BibT_eX]

[DOI]

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

e-SNLI: Natural Language Inference with Natural Language Explanations.

[BibT_eX]