Elias Stengel-Eskin

114 papers A* 20A 2B 2Misc 1Journal 73Unranked 16
YearRankTypeTitle / Venue / Authors
2026 A conf
A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms.
LAK
Joyce Horn Fonteles, Nithin Sivakumaran, Clayton Cohn, Austin Coursey, Shoubin Yu, Elias Stengel-Eskin, Ashwin T. S., Mohit Bansal, Gautam Biswas
2026 J jnl
Balancing Faithfulness and Performance in Reasoning via Multi-Listener Soft Execution.
CoRR
Nithin Sivakumaran, Shoubin Yu, Hyunji Lee, Yue Zhang, Ali Payani, Mohit Bansal, Elias Stengel-Eskin
2026 J jnl
Conflict-Resolving and Sharpness-Aware Minimization for Generalized Knowledge Editing with Multiple Updates.
CoRR
Duy Nguyen, Hanqi Xiao, Archiki Prasad, Elias Stengel-Eskin, Hyunji Lee, Mohit Bansal
2026 — conf
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning.
EACL (Volume 1: Long Papers)
Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal
2026 J jnl
Does AI See like Art Historians? Interpreting How Vision Language Models Recognize Artistic Style.
CoRR
Marvin Limpijankit, Milad Alshomary, Yassin Oulad Daoud, Amith Ananthram, Tim Trombley, Elias Stengel-Eskin, Mohit Bansal, Noam M. Elcott, Kathleen McKeown
2026 J jnl
Evaluating Stochasticity in Deep Research Agents.
CoRR
Haotian Zhai, Elias Stengel-Eskin, Pratik Patil, Liu Leqi
2026 — conf
Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact.
EACL (Volume 1: Long Papers)
Hyunji Lee, Seunghyun Yoon, Yunjae Won, Hanseok Oh, Geewook Kim, Trung Bui, Franck Dernoncourt, Elias Stengel-Eskin, Mohit Bansal, Minjoon Seo
2026 J jnl
Multimodal Fact-Level Attribution for Verifiable Reasoning.
CoRR
David Wan, Han Wang, Ziyang Wang, Elias Stengel-Eskin, Hyunji Lee, Mohit Bansal
2026 J jnl
Reliable and Responsible Foundation Models: A Comprehensive Survey.
CoRR
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2026 — conf
RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation.
EACL (Volume 1: Long Papers)
Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal
2026 J jnl
Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection.
CoRR
Tianyi Niu, Justin Chih-Yao Chen, Genta Indra Winata, Shi-Xiong Zhang, Supriyo Chakraborty, Sambit Sahu, Yue Zhang, Elias Stengel-Eskin, Mohit Bansal
2025 B conf
A Multimodal Classroom Video Question-Answering Framework for Automated Understanding of Collaborative Learning.
ICMI
Nithin Sivakumaran, Chia-Yu Yang, Abhay Zala, Shoubin Yu, Daeun Hong, Xiaotian Zou, Elias Stengel-Eskin, Dan Carpenter, Wookhee Min, Cindy E. Hmelo-Silver, Jonathan P. Rowe, James C. Lester, Mohit Bansal
2025 — conf
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge.
NAACL (Long Papers)
Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting.
CoRR
Atin Pothiraj, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2025 J jnl
CLATTER: Comprehensive Entailment Reasoning for Hallucination Detection.
CoRR
Ron Eliav, Arie Cattan, Eran Hirsch, Shahaf Bassan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan
2025 J jnl
CLaMR: Contextualized Late-Interaction for Multimodal Content Retrieval.
CoRR
David Wan, Han Wang, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2025 J jnl
Calibrating Verbalized Confidence with Self-Generated Distractors.
CoRR
Victor Wang, Elias Stengel-Eskin
2025 J jnl
Context-Informed Grounding Supervision.
CoRR
Hyunji Lee, Seunghyun Yoon, Yunjae Won, Hanseok Oh, Geewook Kim, Trung Bui, Franck Dernoncourt, Elias Stengel-Eskin, Mohit Bansal, Minjoon Seo
2025 J jnl
DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning.
CoRR
Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal
2025 A* conf
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback.
ICLR
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2025 J jnl
Executable Functional Abstractions: Inferring Generative Programs for Advanced Math Problems.
CoRR
Zaid Khan, Elias Stengel-Eskin, Archiki Prasad, Jaemin Cho, Mohit Bansal
2025 J jnl
Generalized Correctness Models: Learning Calibrated and Model-Agnostic Correctness Predictors from Historical Patterns.
CoRR
Hanqi Xiao, Vaidehi Patil, Hyunji Lee, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
GenerationPrograms: Fine-grained Attribution with Executable Programs.
CoRR
David Wan, Eran Hirsch, Elias Stengel-Eskin, Ido Dagan, Mohit Bansal
2025 J jnl
Gistify! Codebase-Level Understanding via Runtime Execution.
CoRR
Hyunji Lee, Minseon Kim, Chinmay Singh, Matheus Pereira, Atharv Sonwane, Isadora White, Elias Stengel-Eskin, Mohit Bansal, Zhengyan Shi, Alessandro Sordoni, Marc-Alexandre Côté, Xingdi Yuan, Lucas Caccia
2025 J jnl
GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs.
CoRR
Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2025 — conf
LAQuer: Localized Attribution Queries in Content-grounded Generation.
ACL (1)
Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan
2025 J jnl
LAQuer: Localized Attribution Queries in Content-grounded Generation.
CoRR
Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan
2025 A* conf
Language Models Identify Ambiguities and Exploit Loopholes.
EMNLP
Jio Choi, Mohit Bansal, Elias Stengel-Eskin
2025 J jnl
Language Models Identify Ambiguities and Exploit Loopholes.
CoRR
Jio Choi, Mohit Bansal, Elias Stengel-Eskin
2025 J jnl
Learning to Generate Unit Tests for Automated Debugging.
CoRR
Archiki Prasad, Elias Stengel-Eskin, Justin Chih-Yao Chen, Zaid Khan, Mohit Bansal
2025 — conf
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration.
NAACL (Long Papers)
David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration.
CoRR
David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal
2025 A* conf
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning.
EMNLP
Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
Movie Facts and Fibs (MF
CoRR
Emmanouil Zaranis, António Farinhas, Saul José Rodrigues dos Santos, Beatriz Canaverde, Miguel Moura Ramos, Aditya K. Surikuchi, André Viveiros, Baohao Liao, Elena Belén Bueno-Benito, Nithin Sivakumaran, Pavlo Vasylenko, Shoubin Yu, Sonal Sannigrahi, Wafaa Mohammed, Ben Peters, Danae Sánchez Villegas, Elias Stengel-Eskin, Giuseppe Attanasio, Jaehong Yoon, Stella Frank, Alessandro Suglia, Chrysoula Zerva, Desmond Elliott, Mariella Dimiccoli, Mohit Bansal, Oswald Lanz, Raffaella Bernardi, Raquel Fernández, Sandro Pezzelle, Vlad Niculae, André F. T. Martins
2025 — conf
Multi-Attribute Steering of Language Models via Targeted Intervention.
ACL (1)
Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
Multi-Attribute Steering of Language Models via Targeted Intervention.
CoRR
Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective.
CoRR
Yue Huang, Chujie Gao, Siyuan Wu, Haoran Wang, Xiangqi Wang, Yujun Zhou, Yanbo Wang, Jiayi Ye, Jiawen Shi, Qihui Zhang, Yuan Li, Han Bao, Zhaoyi Liu, Tianrui Guan, Dongping Chen, Ruoxi Chen, Kehan Guo, Andy Zou, Bryan Hooi Kuen-Yew, Caiming Xiong, Elias Stengel-Eskin, Hongyang Zhang, Hongzhi Yin, Huan Zhang, Huaxiu Yao, Jaehong Yoon, Jieyu Zhang, Kai Shu, Kaijie Zhu, Ranjay Krishna, Swabha Swayamdipta, Taiwei Shi, Weijia Shi, Xiang Li, Yiwei Li, Yuexing Hao, Zhihao Jia, Zhize Li, Xiuying Chen, Zhengzhong Tu, Xiyang Hu, Tianyi Zhou, Jieyu Zhao, Lichao Sun, Furong Huang, Or Cohen Sasson, Prasanna Sattigeri, Anka Reuel, Max Lamparth, Yue Zhao, Nouha Dziri, Yu Su, Huan Sun, Heng Ji, Chaowei Xiao, Mohit Bansal, Nitesh V. Chawla, Jian Pei, Jianfeng Gao, Michael Backes, Philip S. Yu, Neil Zhenqiang Gong, Pin-Yu Chen, Bo Li, Xiangliang Zhang
2025 J jnl
One Life to Learn: Inferring Symbolic World Models for Stochastic Environments from Unguided Exploration.
CoRR
Zaid Khan, Archiki Prasad, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2025 J jnl
PRInTS: Reward Modeling for Long-Horizon Information Seeking.
CoRR
Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
PoSh: Using Scene Graphs To Guide LLMs-as-a-Judge For Detailed Image Descriptions.
CoRR
Amith Ananthram, Elias Stengel-Eskin, Lorena A. Bradford, Julia Demarest, Adam Purvis, Keith Krut, Robert Stein, Rina Elster Pantalony, Mohit Bansal, Kathleen McKeown
2025 J jnl
Reliable and Responsible Foundation Models.
Trans. Mach. Learn. Res.
Xinyu Yang, Junlin Han, Rishi Bommasani, Jinqi Luo, Wenjie Qu, Wangchunshu Zhou, Adel Bibi, Xiyao Wang, Jaehong Yoon, Elias Stengel-Eskin, Shengbang Tong, Lingfeng Shen, Rafael Rafailov, Runjia Li, Zhaoyang Wang, Yiyang Zhou, Chenhang Cui, Yu Wang, Wenhao Zheng, Huichi Zhou, Jindong Gu, Zhaorun Chen, Peng Xia, Tony Lee, Thomas P. Zollo, Vikash Sehwag, Jixuan Leng, Jiuhai Chen, Yuxin Wen, Huan Zhang, Zhun Deng, Linjun Zhang, Pavel Izmailov, Pang Wei Koh, Yulia Tsvetkov, Andrew Gordon Wilson, Jiaheng Zhang, James Zou, Cihang Xie, Hao Wang, Philip Torr, Julian J. McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, René Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao
2025 J jnl
Retrieval-Augmented Generation with Conflicting Evidence.
CoRR
Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
RotBench: Evaluating Multimodal Large Language Models on Identifying Image Rotation.
CoRR
Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal
2025 A* conf
See It from My Perspective: How Language Affects Cultural Bias in Image Understanding.
ICLR
Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown
2025 J jnl
Symbolic Mixture-of-Experts: Adaptive Skill-based Routing for Heterogeneous Reasoning.
CoRR
Justin Chih-Yao Chen, Sukwon Yun, Elias Stengel-Eskin, Tianlong Chen, Mohit Bansal
2025 A* conf
System 1.x: Learning to Balance Fast and Slow Planning with Language Models.
ICLR
Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
Task-Circuit Quantization: Leveraging Knowledge Localization and Interpretability for Compression.
CoRR
Hanqi Xiao, Yi-Lin Sung, Elias Stengel-Eskin, Mohit Bansal
2025 — conf
Teaching Models to Balance Resisting and Accepting Persuasion.
NAACL (Long Papers)
Elias Stengel-Eskin, Peter Hase, Mohit Bansal
2025 J jnl
The Sum Leaks More Than Its Parts: Compositional Privacy Risks and Mitigations in Multi-Agent Collaboration.
CoRR
Vaidehi Patil, Elias Stengel-Eskin, Mohit Bansal
2025 J jnl
Think Right: Learning to Mitigate Under-Over Thinking via Adaptive, Attentive Compression.
CoRR
Joykirat Singh, Justin Chih-Yao Chen, Archiki Prasad, Elias Stengel-Eskin, Akshay Nambi, Mohit Bansal
2025 J jnl
UPCORE: Utility-Preserving Coreset Selection for Balanced Unlearning.
CoRR
Vaidehi Patil, Elias Stengel-Eskin, Mohit Bansal
2025 A* conf
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos.
CVPR
Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal
2024 J jnl
AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge.
CoRR
Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
Are language models rational? The case of coherence norms and belief revision.
CoRR
Thomas Hofweber, Peter Hase, Elias Stengel-Eskin, Mohit Bansal
2024 — conf
Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training.
ECCV (79)
David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
Contrastive Region Guidance: Improving Grounding in Vision-Language Models without Training.
CoRR
David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback.
CoRR
Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal
2024 J jnl
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
CoRR
Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
Fundamental Problems With Model Editing: How Should Rational Belief Revision Work in LLMs?
Trans. Mach. Learn. Res.
Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal
2024 A* conf
GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations.
NeurIPS
Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024 J jnl
GTBench: Uncovering the Strategic Reasoning Limitations of LLMs via Game-Theoretic Evaluations.
CoRR
Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu
2024 A* conf
LACIE: Listener-Aware Finetuning for Calibration in Large Language Models.
NeurIPS
Elias Stengel-Eskin, Peter Hase, Mohit Bansal
2024 J jnl
LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models.
CoRR
Elias Stengel-Eskin, Peter Hase, Mohit Bansal
2024 J jnl
LASeR: Learning to Adaptively Select Reward Models with Multi-Armed Bandits.
CoRR
Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2024 A* conf
Language-guided Skill Learning with Temporal Variational Inference.
ICML
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
2024 J jnl
Language-guided Skill Learning with Temporal Variational Inference.
CoRR
Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan
2024 A* conf
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models.
ICML
Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models.
CoRR
Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning.
CoRR
Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal
2024 A* conf
MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System.
ACM Multimedia
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
2024 A* conf
ReGAL: Refactoring Programs to Discover Generalizable Abstractions.
ICML
Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal
2024 J jnl
ReGAL: Refactoring Programs to Discover Generalizable Abstractions.
CoRR
Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal
2024 A* conf
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models.
ICLR
Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
See It from My Perspective: Diagnosing the Western Cultural Bias of Large Vision-Language Models in Image Understanding.
CoRR
Amith Ananthram, Elias Stengel-Eskin, Carl Vondrick, Mohit Bansal, Kathleen R. McKeown
2024 J jnl
Soft Self-Consistency Improves Language Model Agents.
CoRR
Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2024 — conf
Soft Self-Consistency Improves Language Models Agents.
ACL (Short Papers)
Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2024 — conf
Sub-goal Distillation: A Method to Improve Small Language Agents.
CoLLAs
Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté
2024 J jnl
Sub-goal Distillation: A Method to Improve Small Language Agents.
CoRR
Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté
2024 J jnl
System-1.x: Learning to Balance Fast and Slow Planning with Language Models.
CoRR
Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal
2024 J jnl
Teaching Models to Balance Resisting and Accepting Persuasion.
CoRR
Elias Stengel-Eskin, Peter Hase, Mohit Bansal
2024 J jnl
VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos.
CoRR
Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal
2024 A* conf
Zero and Few-shot Semantic Parsing with Ambiguous Inputs.
ICLR
Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme
2023 J jnl
Calibrated Interpretation: Confidence Estimation in Semantic Parsing.
Trans. Assoc. Comput. Linguistics
Elias Stengel-Eskin, Benjamin Van Durme
2023 A* conf
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing.
EMNLP
Elias Stengel-Eskin, Benjamin Van Durme
2023 J jnl
Did You Mean...? Confidence-based Trade-offs in Semantic Parsing.
CoRR
Elias Stengel-Eskin, Benjamin Van Durme
2023 J jnl
Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models.
CoRR
Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal
2023 A* conf
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning.
CVPR
Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille
2023 — conf
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA.
ACL (1)
Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme
2023 J jnl
Zero and Few-shot Semantic Parsing with Ambiguous Inputs.
CoRR
Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme
2022 J jnl
Calibrated Interpretation: Confidence Estimation in Semantic Parsing.
CoRR
Elias Stengel-Eskin, Benjamin Van Durme
2022 J jnl
Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning.
CoRR
Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille
2022 A* conf
The Curious Case of Control.
EMNLP
Elias Stengel-Eskin, Benjamin Van Durme
2022 J jnl
The Curious Case of Control.
CoRR
Elias Stengel-Eskin, Benjamin Van Durme
2022 — conf
Visual Commonsense in Pretrained Unimodal and Multimodal Models.
NAACL-HLT
Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin
2022 J jnl
Visual Commonsense in Pretrained Unimodal and Multimodal Models.
CoRR
Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin
2022 A* conf
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems.
EMNLP
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su
2022 J jnl
When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems.
CoRR
Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su
2022 J jnl
Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA.
CoRR
Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme
2021 A* conf
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images.
ICCV
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille
2021 J jnl
Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images.
CoRR
Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille
2021 Misc conf
Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions.
CoRL
Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager
2021 J jnl
Iterative Paraphrastic Augmentation with Discriminative Span Alignment.
Trans. Assoc. Comput. Linguistics
Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme
2021 J jnl
Joint Universal Syntactic and Semantic Parsing.
CoRR
Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme
2021 J jnl
Joint Universal Syntactic and Semantic Parsing.
Trans. Assoc. Comput. Linguistics
Elias Stengel-Eskin, Kenton W. Murray, Sheng Zhang, Aaron Steven White, Benjamin Van Durme
2020 J jnl
Iterative Paraphrastic Augmentation with Discriminative Span Alignment.
CoRR
Ryan Culkin, J. Edward Hu, Elias Stengel-Eskin, Guanghui Qin, Benjamin Van Durme
2020 B conf
The Universal Decompositional Semantics Dataset and Decomp Toolkit.
LREC
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
2020 A* conf
Universal Decompositional Semantic Parsing.
ACL
Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme
2019 — conf
A Discriminative Neural Model for Cross-Lingual Word Alignment.
EMNLP/IJCNLP (1)
Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme
2019 J jnl
A Discriminative Neural Model for Cross-Lingual Word Alignment.
CoRR
Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme
2019 — conf
NIST TAC SM-KBP 2019 System Description: JHU/UR Framework.
TAC
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
2019 J jnl
The Universal Decompositional Semantics Dataset and Decomp Toolkit.
CoRR
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
2019 J jnl
Transductive Parsing for Universal Decompositional Semantics.
CoRR
Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme
2018 — conf
NIST TAC SM-KBP 2018 System Description: JHU/UR Pipeline.
TAC
Patrick Xia, Elias Stengel-Eskin, Tongfei Chen, Seth Ebner, Nils Holzenberger, Ryan Culkin, Pushpendre Rastogi, Xutai Ma, Benjamin Van Durme
2017 A conf
Polyglot and Speech Corpus Tools: A System for Representing, Integrating, and Querying Speech Corpora.
INTERSPEECH
Michael McAuliffe, Elias Stengel-Eskin, Michaela Socolof, Morgan Sonderegger