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Elias Stengel-Eskin
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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
442023
Visual commonsense in pretrained unimodal and multimodal models
C Zhang, B Van Durme, Z Li, E Stengel-Eskin
Proceedings of the 2022 Conference of the North American Chapter of the …, 2022
432022
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
362019
The universal decompositional semantics dataset and decomp toolkit
AS White, E Stengel-Eskin, S Vashishtha, V Govindarajan, DA Reisinger, ...
Proceedings of the Twelfth Language Resources and Evaluation Conference, 2019
322019
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
282022
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, ...
NeurIPS 2024, 2024
272024
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
22*2020
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
182017
Contrastive region guidance: Improving grounding in vision-language models without training
D Wan, J Cho, E Stengel-Eskin, M Bansal
European Conference on Computer Vision, 198-215, 2025
172025
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
172021
Calibrated interpretation: Confidence estimation in semantic parsing
E Stengel-Eskin, B Van Durme
Transactions of the Association for Computational Linguistics 11, 1213-1231, 2023
152023
Rephrase, augment, reason: Visual grounding of questions for vision-language models
A Prasad, E Stengel-Eskin, M Bansal
The Twelfth International Conference on Learning Representations, 2023
122023
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
112021
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
Z Wang*, S Yu*, E Stengel-Eskin*, J Yoon, F Cheng, G Bertasius, ...
arXiv preprint arXiv:2405.19209, 2024
102024
Regal: Refactoring programs to discover generalizable abstractions
E Stengel-Eskin, A Prasad, M Bansal
Forty-first International Conference on Machine Learning, 2024
102024
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
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2022
102022
Zero and few-shot semantic parsing with ambiguous inputs
E Stengel-Eskin, K Rawlins, B Van Durme
The Twelfth International Conference on Learning Representations, 2023
92023
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
P Hase, T Hofweber, X Zhou, E Stengel-Eskin, M Bansal
arXiv preprint arXiv:2406.19354, 2024
62024
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
62021
System-1. x: Learning to balance fast and slow planning with language models
S Saha, A Prasad, JCY Chen, P Hase, E Stengel-Eskin, M Bansal
arXiv preprint arXiv:2407.14414, 2024
42024
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Articles 1–20