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Elias Stengel-Eskin

VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos
2025 · Ziyang Wang, Shoubin Yu, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 53
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Human-Model Divergence in the Handling of Vagueness
2021 · Elias Stengel-Eskin, Jimena Guallar-Blasco, et al. · 39
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Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning
2023 · Zhuowan Li, Xingrui Wong, et al. · IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 26
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A Discriminative Neural Model for Cross-Lingual Word Alignment
2019 · Elias Stengel-Eskin, Tzu-ray Su, et al. · 25
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Visual Commonsense in Pretrained Unimodal and Multimodal Models
2022 · Chenyu Zhang, Benjamin Van Durme, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 19
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Polyglot and Speech Corpus Tools: A System for Representing, Integrating, and Querying Speech Corpora
2017 · Michael McAuliffe, Elias Stengel-Eskin, et al. · Interspeech (USB) · 16
Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training
2024 · David Wan, Jaemin Cho, et al. · Lecture notes in computer science · 14
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Universal Decompositional Semantic Parsing
2020 · Elias Stengel-Eskin, Aaron Steven White, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 14
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GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations
2024 · Jinhao Duan, Renming Zhang, et al. · neural information processing systems · 12
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images
2021 · Zhuowan Li, Elias Stengel-Eskin, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 12
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Soft Self-Consistency Improves Language Models Agents
2024 · Han Wang, Archiki Prasad, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 8
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Calibrated Interpretation: Confidence Estimation in Semantic Parsing
2023 · Elias Stengel-Eskin, Benjamin Van Durme · Transactions of the Association for Computational Linguistics · 8
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Joint Universal Syntactic and Semantic Parsing
2021 · Elias Stengel-Eskin, Kenton Murray, et al. · Transactions of the Association for Computational Linguistics · 7
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA
2023 · Elias Stengel-Eskin, Jimena Guallar-Blasco, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 6
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CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting
2025 · Atin Pothiraj, Elias Stengel-Eskin, et al. · IEEE/CVF International Conference on Computer Vision (ICCV) · 4
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MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning
2025 · Justin Chen, Archiki Prasad, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 4
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Learning to Generate Unit Tests for Automated Debugging
2025 · Prasad, Archiki, Stengel-Eskin, Elias, et al. · arXiv (Cornell University) · 3
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MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration
2025 · David Wan, Justin Chen, et al. · Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) · 3
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AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge
2025 · Han Wang, Archiki Prasad, et al. · Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL) · 3
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LAQuer: Localized Attribution Queries in Content-grounded Generation
2025 · Eran Hirsch, Aviv Slobodkin, et al. · Annual Meeting of the Association for Computational Linguistics (ACL) · 3
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See It from My Perspective: How Language Affects Cultural Bias in Image Understanding
2024 · Ananthram, Amith, Stengel-Eskin, Elias, et al. · arXiv (Cornell University) · 3
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GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations
2024 · Duan, Jinhao, Zhang, Renming, et al. · arXiv (Cornell University) · 3
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When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems
2022 · Elias Stengel-Eskin, Emmanouil Antonios Platanios, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 3
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Retrieval-Augmented Generation with Conflicting Evidence
2025 · Wang, Han, Prasad, Archiki, et al. · arXiv (Cornell University) · 2
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LACIE: Listener-Aware Finetuning for Calibration in Large Language Models
2024 · Elias Stengel-Eskin, Peter Hase, et al. · neural information processing systems · 2
Works count: 136
Citation count: 310
H-index: 10
I10-index: 10
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