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ORCIDElias Stengel-Eskin
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2020 – today
- 2025
[i36]Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Zaid Khan, Mohit Bansal:
Learning to Generate Unit Tests for Automated Debugging. CoRR abs/2502.01619 (2025)- 2024
- [c22]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Soft Self-Consistency Improves Language Models Agents. ACL (Short Papers) 2024: 287-301 - [c21]David Wan
, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal:
Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training. ECCV (79) 2024: 198-215 - [c20]Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. ICLR 2024 - [c19]Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme:
Zero and Few-shot Semantic Parsing with Ambiguous Inputs. ICLR 2024 - [c18]Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. ICML 2024 - [c17]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. ICML 2024 - [c16]Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal:
ReGAL: Refactoring Programs to Discover Generalizable Abstractions. ICML 2024 - [c15]Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji:
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System. ACM Multimedia 2024: 11252-11254 - [c14]Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu:
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations. NeurIPS 2024 - [c13]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models. NeurIPS 2024 - [i35]Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal:
ReGAL: Refactoring Programs to Discover Generalizable Abstractions. CoRR abs/2401.16467 (2024) - [i34]Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. CoRR abs/2402.01620 (2024) - [i33]Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu:
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations. CoRR abs/2402.12348 (2024) - [i32]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Soft Self-Consistency Improves Language Model Agents. CoRR abs/2402.13212 (2024) - [i31]Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan:
Language-guided Skill Learning with Temporal Variational Inference. CoRR abs/2402.16354 (2024) - [i30]David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal:
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training. CoRR abs/2403.02325 (2024) - [i29]Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté:
Sub-goal Distillation: A Method to Improve Small Language Agents. CoRR abs/2405.02749 (2024) - [i28]Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal:
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos. CoRR abs/2405.19209 (2024) - [i27]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models. CoRR abs/2405.21028 (2024) - [i26]Thomas Hofweber, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
Are language models rational? The case of coherence norms and belief revision. CoRR abs/2406.03442 (2024) - [i25]Amith Ananthram, Elias Stengel-Eskin, Carl Vondrick, Mohit Bansal, Kathleen R. McKeown:
See It from My Perspective: Diagnosing the Western Cultural Bias of Large Vision-Language Models in Image Understanding. CoRR abs/2406.11665 (2024) - [i24]Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal:
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs? CoRR abs/2406.19354 (2024) - [i23]Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal:
System-1.x: Learning to Balance Fast and Slow Planning with Language Models. CoRR abs/2407.14414 (2024) - [i22]Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge. CoRR abs/2409.07394 (2024) - [i21]Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal:
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. CoRR abs/2409.12147 (2024) - [i20]Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits. CoRR abs/2410.01735 (2024) - [i19]Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal:
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. CoRR abs/2410.06215 (2024) - [i18]Elias Stengel-Eskin, Peter Hase, Mohit Bansal:
Teaching Models to Balance Resisting and Accepting Persuasion. CoRR abs/2410.14596 (2024) - 2023
- [j3]Elias Stengel-Eskin, Benjamin Van Durme:
Calibrated Interpretation: Confidence Estimation in Semantic Parsing. Trans. Assoc. Comput. Linguistics 11: 1213-1231 (2023) - [c12]Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme:
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA. ACL (1) 2023: 10220-10237 - [c11]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CVPR 2023: 14963-14973 - [c10]Elias Stengel-Eskin, Benjamin Van Durme:
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. EMNLP 2023: 2621-2629 - [i17]Elias Stengel-Eskin, Benjamin Van Durme:
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. CoRR abs/2303.16857 (2023) - [i16]Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme:
Zero and Few-shot Semantic Parsing with Ambiguous Inputs. CoRR abs/2306.00824 (2023) - [i15]Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal:
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. CoRR abs/2310.05861 (2023) - 2022
- [c9]Elias Stengel-Eskin, Benjamin Van Durme:
The Curious Case of Control. EMNLP 2022: 11065-11076 - [c8]Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su:
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. EMNLP 2022: 11473-11487 - [c7]Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin:
Visual Commonsense in Pretrained Unimodal and Multimodal Models. NAACL-HLT 2022: 5321-5335 - [i14]Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin:
Visual Commonsense in Pretrained Unimodal and Multimodal Models. CoRR abs/2205.01850 (2022) - [i13]Elias Stengel-Eskin, Benjamin Van Durme:
The Curious Case of Control. CoRR abs/2205.12113 (2022) - [i12]Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su:
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. CoRR abs/2205.12228 (2022) - [i11]Elias Stengel-Eskin, Benjamin Van Durme:
Calibrated Interpretation: Confidence Estimation in Semantic Parsing. CoRR abs/2211.07443 (2022) - [i10]Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme:
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA. CoRR abs/2211.07516 (2022) - [i9]Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille:
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. CoRR abs/2212.00259 (2022) - 2021
- [j2]Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme:
Iterative Paraphrastic Augmentation with Discriminative Span Alignment. Trans. Assoc. Comput. Linguistics 9: 494-509 (2021) - [j1]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. Trans. Assoc. Comput. Linguistics 9: 756-773 (2021) - [c6]Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager:
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. CoRL 2021: 1486-1501 - [c5]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. ICCV 2021: 14890-14899 - [i8]Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme:
Joint Universal Syntactic and Semantic Parsing. CoRR abs/2104.05696 (2021) - [i7]Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille:
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. CoRR abs/2110.00519 (2021) - 2020
- [c4]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Universal Decompositional Semantic Parsing. ACL 2020: 8427-8439 - [c3]Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. LREC 2020: 5698-5707 - [i6]Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme:
Iterative Paraphrastic Augmentation with Discriminative Span Alignment. CoRR abs/2007.00320 (2020)
2010 – 2019
- 2019
- [c2]Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme:
A Discriminative Neural Model for Cross-Lingual Word Alignment. EMNLP/IJCNLP (1) 2019: 910-920 - [i5]Yunmo Chen, Seth Ebner, Tongfei Chen, Patrick Xia, Elias Stengel-Eskin, Tzu-Ray Su, J. Edward Hu, Nils Holzenberger, Ryan Culkin, Craig Harman, Max Thomas, Thomas Lippincott, Aaron Steven White, Kyle Rawlins, Benjamin Van Durme:
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework. TAC 2019 - [i4]Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme:
A Discriminative Neural Model for Cross-Lingual Word Alignment. CoRR abs/1909.00444 (2019) - [i3]Aaron Steven White, Elias Stengel-Eskin, Siddharth Vashishtha, Venkata Subrahmanyan Govindarajan, Dee Ann Reisinger, Tim Vieira, Keisuke Sakaguchi, Sheng Zhang, Francis Ferraro, Rachel Rudinger, Kyle Rawlins, Benjamin Van Durme:
The Universal Decompositional Semantics Dataset and Decomp Toolkit. CoRR abs/1909.13851 (2019) - [i2]Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme:
Transductive Parsing for Universal Decompositional Semantics. CoRR abs/1910.10138 (2019) - 2018
- [i1]Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme:
NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline. TAC 2018 - 2017
- [c1]Michael McAuliffe, Elias Stengel-Eskin, Michaela Socolof, Morgan Sonderegger:
Polyglot and Speech Corpus Tools: A System for Representing, Integrating, and Querying Speech Corpora. INTERSPEECH 2017: 3887-3891
Coauthor Index
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