Joe Stacey
According to our database1,
Joe Stacey
authored at least 12 papers
between 2020 and 2024.
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2024
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Book In proceedings Article PhD thesis Dataset OtherLinks
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Bibliography
2024
Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Distilling Robustness into Natural Language Inference Models with Domain-Targeted Augmentation.
Proceedings of the Findings of the Association for Computational Linguistics, 2024
2023
CoRR, 2023
Improving Robustness in Knowledge Distillation Using Domain-Targeted Data Augmentation.
CoRR, 2023
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
2022
Logical Reasoning with Span Predictions: Span-level Logical Atoms for Interpretable and Robust NLI Models.
CoRR, 2022
Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models.
Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022
Supervising Model Attention with Human Explanations for Robust Natural Language Inference.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
Natural Language Inference with a Human Touch: Using Human Explanations to Guide Model Attention.
CoRR, 2021
2020
There is Strength in Numbers: Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
CoRR, 2020
Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020