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Ana Marasovic

According to our database¹, Ana Marasovic authored at least 27 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of four.
Erdős number³ of four.

Timeline

Legend:

Book

In proceedings

Article

PhD thesis

Dataset

Other

Links

On csauthors.net:

Bibliography

2024

Chain-of-Thought Unfaithfulness as Disguised Accuracy.

[BibT_eX]

[DOI]

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Nathan Stringham

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CoRR, 2024

2023

Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness.

[BibT_eX]

[DOI]

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Rishanth Rajendhran

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Nathan Stringham

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CoRR, 2023

How Much Consistency Is Your Accuracy Worth?

[BibT_eX]

[DOI]

Jacob K. Johnson

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Proceedings of the 6th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP, 2023

Do Androids Laugh at Electric Sheep? Humor "Understanding" Benchmarks from The New Yorker Caption Contest.

[BibT_eX]

[DOI]

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Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Few-Shot Self-Rationalization with Natural Language Prompts.

[BibT_eX]

[DOI]

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Matthew E. Peters

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

Does Self-Rationalization Improve Robustness to Spurious Correlations?

[BibT_eX]

[DOI]

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Matthew E. Peters

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

CONDAQA: A Contrastive Reading Comprehension Dataset for Reasoning about Negation.

[BibT_eX]

[DOI]

Abhilasha Ravichander

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Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

On Advances in Text Generation from Images Beyond Captioning: A Case Study in Self-Rationalization.

[BibT_eX]

[DOI]

Shruti Palaskar

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

2021

Documenting the English Colossal Clean Crawled Corpus.

[BibT_eX]

[DOI]

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Gabriel Ilharco

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Dirk Groeneveld

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CoRR, 2021

Teach Me to Explain: A Review of Datasets for Explainable NLP.

[BibT_eX]

[DOI]

Sarah Wiegreffe

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CoRR, 2021

Teach Me to Explain: A Review of Datasets for Explainable Natural Language Processing.

[BibT_eX]

[DOI]

Sarah Wiegreffe

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Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

Formalizing Trust in Artificial Intelligence: Prerequisites, Causes and Goals of Human Trust in AI.

[BibT_eX]

[DOI]

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Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

Measuring Association Between Labels and Free-Text Rationales.

[BibT_eX]

[DOI]

Sarah Wiegreffe

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Documenting Large Webtext Corpora: A Case Study on the Colossal Clean Crawled Corpus.

[BibT_eX]

[DOI]

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Gabriel Ilharco

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Dirk Groeneveld

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Margaret Mitchell

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Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Effective Attention Sheds Light On Interpretability.

[BibT_eX]

[DOI]

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Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Explaining NLP Models via Minimal Contrastive Editing (MiCE).

[BibT_eX]

[DOI]

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Matthew E. Peters

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

Promoting Graph Awareness in Linearized Graph-to-Text Generation.

[BibT_eX]

[DOI]

Alexander Miserlis Hoyle

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Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021

2020

Deep Learning With Sentiment Inference For Discourse-Oriented Opinion Analysis.

[BibT_eX]

[DOI]

PhD thesis, 2020

Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ.

[BibT_eX]

[DOI]

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Robert L. Logan IV

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

Natural Language Rationales with Full-Stack Visual Reasoning: From Pixels to Semantic Frames to Commonsense Graphs.

[BibT_eX]

[DOI]

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Chandra Bhagavatula

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Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

Don't Stop Pretraining: Adapt Language Models to Domains and Tasks.

[BibT_eX]

[DOI]

Suchin Gururangan

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Swabha Swayamdipta

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

2019

Quoref: A Reading Comprehension Dataset with Questions Requiring Coreferential Reasoning.

[BibT_eX]

[DOI]

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

2018

What's Important in a Text? An Extensive Evaluation of Linguistic Annotations for Summarization.

[BibT_eX]

[DOI]

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Teresa Botschen

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Benjamin Heinzerling

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Avinesh P. V. S.

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Eneldo Loza Mencía

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Johannes Fürnkranz

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Proceedings of the Fifth International Conference on Social Networks Analysis, 2018

SRL4ORL: Improving Opinion Role Labeling Using Multi-Task Learning with Semantic Role Labeling.

[BibT_eX]

[DOI]

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Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

2017

SRL4ORL: Improving Opinion Role Labelling using Multi-task Learning with Semantic Role Labeling.

[BibT_eX]

[DOI]

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CoRR, 2017

A Mention-Ranking Model for Abstract Anaphora Resolution.

[BibT_eX]

[DOI]

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Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

2016

Multilingual Modal Sense Classification using a Convolutional Neural Network.

[BibT_eX]

[DOI]

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Proceedings of the 1st Workshop on Representation Learning for NLP, 2016

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