| Context limitations make neural language models more human-like T Kuribayashi, Y Oseki, A Brassard, K Inui arXiv preprint arXiv:2205.11463, 2022 | 19 | 2022 |
| Diamonds in the rough: Generating fluent sentences from early-stage drafts for academic writing assistance T Ito, T Kuribayashi, H Kobayashi, A Brassard, M Hagiwara, J Suzuki, ... arXiv preprint arXiv:1910.09180, 2019 | 19 | 2019 |
| COPA-SSE: Semi-structured explanations for commonsense reasoning A Brassard, B Heinzerling, P Kavumba, K Inui arXiv preprint arXiv:2201.06777, 2022 | 6 | 2022 |
| Learning to Learn to be Right for the Right Reasons P Kavumba, B Heinzerling, A Brassard, K Inui arXiv preprint arXiv:2104.11514, 2021 | 6 | 2021 |
| TakeLab at SemEval-2018 task12: Argument reasoning comprehension with skip-thought vectors A Brassard, T Kuculo, F Boltužić, J Šnajder Proceedings of The 12th International Workshop on Semantic Evaluation, 1133-1136, 2018 | 5 | 2018 |
| Do Deep Neural Networks Capture Compositionality in Arithmetic Reasoning? K Kudo, Y Aoki, T Kuribayashi, A Brassard, M Yoshikawa, K Sakaguchi, ... arXiv preprint arXiv:2302.07866, 2023 | 4 | 2023 |
| Chat translation error detection for assisting cross-lingual communications Y Li, J Suzuki, M Morishita, K Abe, R Tokuhisa, A Brassard, K Inui arXiv preprint arXiv:2308.01044, 2023 | 3 | 2023 |
| Prompting for explanations improves Adversarial NLI. Is this true?{Yes} it is {true} because {it weakens superficial cues} P Kavumba, A Brassard, B Heinzerling, K Inui Findings of the Association for Computational Linguistics: EACL 2023, 2165-2180, 2023 | 3 | 2023 |
| Empirical investigation of neural symbolic reasoning strategies Y Aoki, K Kudo, T Kuribayashi, A Brassard, M Yoshikawa, K Sakaguchi, ... arXiv preprint arXiv:2302.08148, 2023 | 1 | 2023 |
| Assisting Authors to Convert Raw Products into Polished Prose. T Ito, T Kuribayashi, H Kobayashi, A Brassard, M Hagiwara, J Suzuki, ... Journal of Cognitive Science 21 (1), 2020 | | 2020 |
| None the wiser? Adding “None” Mitigates Superficial Cues in Multiple-Choice Benchmarks P Kavumba, A Brassard, B Heinzerling, N Inoue, K Inui | | |
| Stereotypes Can Be in Writing Too-Age and Gender Identification of Twitter Users A Brassard, T Kuculo Text Analysis and Retrieval 2017 Course Project Reports, 6, 0 | | |
