| A Discriminative Neural Model for Cross-Lingual Word Alignment E Stengel-Eskin, TR Su, M Post, B Van Durme Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 35 | 2019 |
| Visual commonsense in pretrained unimodal and multimodal models C Zhang, B Van Durme, Z Li, E Stengel-Eskin arXiv preprint arXiv:2205.01850, 2022 | 31 | 2022 |
| The universal decompositional semantics dataset and decomp toolkit AS White, E Stengel-Eskin, S Vashishtha, V Govindarajan, DA Reisinger, ... arXiv preprint arXiv:1909.13851, 2019 | 26 | 2019 |
| Guiding multi-step rearrangement tasks with natural language instructions E Stengel-Eskin, A Hundt, Z He, A Murali, N Gopalan, M Gombolay, ... Conference on Robot Learning, 1486-1501, 2022 | 22 | 2022 |
| Universal Decompositional Semantic Parsing E Stengel-Eskin, AS White, S Zhang, B Van Durme Proceedings of the 58th Annual Meeting of the Association for Computational …, 2020 | 18* | 2020 |
| Calibrating concepts and operations: Towards symbolic reasoning on real images Z Li, E Stengel-Eskin, Y Zhang, C Xie, QH Tran, B Van Durme, A Yuille Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 16 | 2021 |
| Super-CLEVR: A virtual benchmark to diagnose domain robustness in visual reasoning Z Li, X Wang, E Stengel-Eskin, A Kortylewski, W Ma, B Van Durme, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 14 | 2023 |
| Polyglot and Speech Corpus Tools: A System for Representing, Integrating, and Querying Speech Corpora. M McAuliffe, E Stengel-Eskin, M Socolof, M Sonderegger INTERSPEECH, 3887-3891, 2017 | 14 | 2017 |
| Calibrated interpretation: Confidence estimation in semantic parsing E Stengel-Eskin, B Van Durme Transactions of the Association for Computational Linguistics 11, 1213-1231, 2023 | 9 | 2023 |
| Why did the chicken cross the road? rephrasing and analyzing ambiguous questions in vqa E Stengel-Eskin, J Guallar-Blasco, Y Zhou, B Van Durme arXiv preprint arXiv:2211.07516, 2022 | 8 | 2022 |
| Joint Universal Syntactic and Semantic Parsing E Stengel-Eskin, K Murray, S Zhang, AS White, B Van Durme Transactions of the Association for Computational Linguistics 9, 756-773, 2021 | 8 | 2021 |
| Zero and few-shot semantic parsing with ambiguous inputs E Stengel-Eskin, K Rawlins, B Van Durme arXiv preprint arXiv:2306.00824, 2023 | 5 | 2023 |
| Iterative paraphrastic augmentation with discriminative span alignment R Culkin, JE Hu, E Stengel-Eskin, G Qin, BV Durme Transactions of the Association for Computational Linguistics 9, 494-509, 2021 | 5 | 2021 |
| Gtbench: Uncovering the strategic reasoning limitations of llms via game-theoretic evaluations J Duan, R Zhang, J Diffenderfer, B Kailkhura, L Sun, E Stengel-Eskin, ... arXiv preprint arXiv:2402.12348, 2024 | 4 | 2024 |
| Rephrase, augment, reason: Visual grounding of questions for vision-language models A Prasad, E Stengel-Eskin, M Bansal arXiv preprint arXiv:2310.05861, 2023 | 4 | 2023 |
| Did You Mean...? Confidence-based Trade-offs in Semantic Parsing E Stengel-Eskin, B Van Durme arXiv preprint arXiv:2303.16857, 2023 | 3 | 2023 |
| When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems E Stengel-Eskin, EA Platanios, A Pauls, S Thomson, H Fang, ... Proceedings of the 2022 Conference on Empirical Methods in Natural Language …, 2022 | 3 | 2022 |
| ReGAL: Refactoring Programs to Discover Generalizable Abstractions E Stengel-Eskin, A Prasad, M Bansal arXiv preprint arXiv:2401.16467, 2024 | 2 | 2024 |
| Human-Model Divergence in the Handling of Vagueness E Stengel-Eskin, J Guallar-Blasco, B Van Durme Proceedings of the 1st Workshop on Understanding Implicit and Underspecified …, 2021 | 1 | 2021 |
| NIST TAC SM-KBP 2019 System Description: JHU/UR Framework Y Chen, S Ebner, T Chen, P Xia, E Stengel-Eskin, TR Su, JE Hu, ... TAC 2019, 2019 | 1 | 2019 |
