| HoVer: A dataset for many-hop fact extraction and claim verification Y Jiang, S Bordia, Z Zhong, C Dognin, M Singh, M Bansal The 2020 Conference on Empirical Methods in Natural Language Processing …, 2020 | 148 | 2020 |
| Avoiding reasoning shortcuts: Adversarial evaluation, training, and model development for multi-hop QA Y Jiang, M Bansal Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 110 | 2019 |
| Self-assembling modular networks for interpretable multi-hop reasoning Y Jiang, M Bansal Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 103 | 2019 |
| Explore, propose, and assemble: An interpretable model for multi-hop reading comprehension Y Jiang, N Joshi, YC Chen, M Bansal Proceedings of the 57th Annual Meeting of the Association for Computational …, 2019 | 57 | 2019 |
| Closed-book training to improve summarization encoder memory Y Jiang, M Bansal Proceedings of the 2018 Conference on Empirical Methods in Natural Language …, 2018 | 42 | 2018 |
| Inducing transformer's compositional generalization ability via auxiliary sequence prediction tasks Y Jiang, M Bansal Proceedings of the 2021 Conference on Empirical Methods in Natural Language …, 2021 | 31 | 2021 |
| Enriching transformers with structured tensor-product representations for abstractive summarization Y Jiang, A Celikyilmaz, P Smolensky, P Soulos, S Rao, H Palangi, ... Proceedings of the 2021 Conference of the North American Chapter of the …, 2021 | 20 | 2021 |
| Mutual exclusivity training and primitive augmentation to induce compositionality Y Jiang, X Zhou, M Bansal Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 10 | 2022 |
| Data factors for better compositional generalization X Zhou, Y Jiang, M Bansal Proceedings of the 2023 Conference on Empirical Methods in Natural Language …, 2023 | 8 | 2023 |
| Hierarchical and dynamic prompt compression for efficient zero-shot API usage Y Jiang, M Vecchio, M Bansal, A Johannsen Findings of the Association for Computational Linguistics: EACL 2024, 2162-2174, 2024 | 5 | 2024 |
| Structural biases for improving transformers on translation into morphologically rich languages P Soulos, S Rao, C Smith, E Rosen, A Celikyilmaz, RT McCoy, Y Jiang, ... Proceedings of the 4th Workshop on Technologies for MT of Low Resource …, 2022 | 4 | 2022 |
| Machine Learning Systems and Methods for Many-Hop Fact Extraction and Claim Verification Y Jiang, S Bordia, Z Zhong, C Dognin, MK Singh, M Bansal US Patent App. 17/534,899, 2022 | 2 | 2022 |
| Learning and analyzing generation order for undirected sequence models Y Jiang, M Bansal Findings of the Association for Computational Linguistics: EMNLP 2021, 3513–3523, 2021 | 2 | 2021 |
| Inducing systematicity in transformers by attending to structurally quantized embeddings Y Jiang, X Zhou, M Bansal Proceedings of the 62nd Annual Meeting of the Association for Computational …, 2024 | 1 | 2024 |
Mohit BansalParker Distinguished Professor, Computer Science, UNC Chapel HillVerified email at cs.unc.edu
