Publications

Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Kentaro Inui (2023). Prompting for explanations improves Adversarial NLI. Is this true? Yes it is true because it weakens superficial cues. Findings of the Association for Computational Linguistics: EACL 2023.

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Pride Kavumba, Ana Brassard, Benjamin Heinzerling, 坂口慶祐, 乾健太郎 (2023). 因果的 プロンプトによる NLI の敵対的ロバスト性の強化. 言語処理学会第 29 回年次大会.

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Ana Brassard, Benjamin Heinzerling, Pride Kavumba, Kentaro Inui (2022). COPA-SSE: Semi-structured Explanations for Commonsense Reasoning. Proceedings of the Thirteenth Language Resources and Evaluation Conference.

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Pride Kavumba, Ryo Takahashi, Yusuke Oda (2022). Are Prompt-based Models Clueless?. Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers).

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Pride Kavumba, 高橋諒, 小田悠介 (2022). プロンプトモデルは表面的手がかりを 利用するか. 言語処理学会第 28 回年次大会.

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Pride Kavumba, Benjamin Heinzerling, Ana Brassard, Kentaro Inui (2021). Learning to Learn to be Right for the Right Reasons. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies.

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Pride Kavumba, Ana Brassard, Benjamin Heinzerling, Naoya Inoue, Kentaro Inui (2021). None the wiser? Adding “None’’Mitigates Superficial Cues in Multiple-Choice Benchmarks. 言語処理学会第 27 回年次大会.

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Pride Kavumba, Naoya Inoue, Benjamin Heinzerling, Keshav Singh, Paul Reisert, Kentaro Inui (2019). When Choosing Plausible Alternatives, Clever Hans can be Clever. Proceedings of the First Workshop on Commonsense Inference in Natural Language Processing.

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Keshav Singh, Paul Reisert, Naoya Inoue, Pride Kavumba, Kentaro Inui (2019). Improving Evidence Detection by Leveraging Warrants. Proceedings of the Second Workshop on Fact Extraction and VERification (FEVER).

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Pride Kavumba, Naoya Inoue, Kentaro Inui (2019). Exploring Supervised Learning of Hierarchical Event Embedding with Poincaré Embeddings. 言語処理学会第 25 回年次大会.

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