Elias Stengel-Eskin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
40
Venues
15
Active years
2017–2026
Best venue rank
A*
Where they publish
Papers
40 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | PRInTS: Reward Modeling for Long-Horizon Information Seeking. | Jaewoo Lee, Archiki Prasad, Justin Chih-Yao Chen, Zaid Khan, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | ACL | GrAInS: Gradient-based Attribution for Inference-Time Steering of LLMs and VLMs. | Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | ACL | Routing with Generated Data: Annotation-Free LLM Skill Estimation and Expert Selection. | Tianyi Niu, Justin Chih-Yao Chen, Genta Indra Winata, Shi-Xiong Zhang, Supriyo Chakraborty, Sambit Sahu, Yue Zhang, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | EACL | Instruction Tuning with and without Context: Behavioral Shifts and Downstream Impact. | Hyunji Lee, Seunghyun Yoon, Yunjae Won, Hanseok Oh, Geewook Kim, Trung Bui, Franck Dernoncourt, Elias Stengel-Eskin, Mohit Bansal, Minjoon Seo |
| 2026 | EACL | RotBench: Evaluating Multi-modal Large Language Models on Identifying Image Rotation. | Tianyi Niu, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | EACL | DART: Leveraging Multi-Agent Disagreement for Tool Recruitment in Multimodal Reasoning. | Nithin Sivakumaran, Justin Chih-Yao Chen, David Wan, Yue Zhang, Jaehong Yoon, Elias Stengel-Eskin, Mohit Bansal |
| 2026 | LAK | A Novel Approach to Evaluating the Effectiveness of Large Language Models for Multimodal Analysis of Embodied Learning in Classrooms. | Joyce Horn Fonteles, Nithin Sivakumaran, Clayton Cohn, Austin Coursey, Shoubin Yu, Elias Stengel-Eskin, Ashwin T. S., Mohit Bansal, Gautam Biswas |
| 2025 | ACL | LAQuer: Localized Attribution Queries in Content-grounded Generation. | Eran Hirsch, Aviv Slobodkin, David Wan, Elias Stengel-Eskin, Mohit Bansal, Ido Dagan |
| 2025 | ACL | Multi-Attribute Steering of Language Models via Targeted Intervention. | Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | CVPR | VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos. | Ziyang Wang, Shoubin Yu, Elias Stengel-Eskin, Jaehong Yoon, Feng Cheng, Gedas Bertasius, Mohit Bansal |
| 2025 | EMNLP | MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for Reasoning. | Justin Chih-Yao Chen, Archiki Prasad, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | EMNLP | Language Models Identify Ambiguities and Exploit Loopholes. | Jio Choi, Mohit Bansal, Elias Stengel-Eskin |
| 2025 | ICCV | CAPTURe: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting. | Atin Pothiraj, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal |
| 2025 | ICLR | DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback. | Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal |
| 2025 | ICLR | See It from My Perspective: How Language Affects Cultural Bias in Image Understanding. | Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown |
| 2025 | ICLR | System 1.x: Learning to Balance Fast and Slow Planning with Language Models. | Swarnadeep Saha, Archiki Prasad, Justin Chih-Yao Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | ICMI | A Multimodal Classroom Video Question-Answering Framework for Automated Understanding of Collaborative Learning. | 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 | INLG | Incorporating Formulaicness in the Automatic Evaluation of Naturalness: A Case Study in Logic-to-Text Generation. | Eduardo Cal, Guanyi Chen, Elias Stengel-Eskin, Albert Gatt, Kees van Deemter |
| 2025 | NAACL | Teaching Models to Balance Resisting and Accepting Persuasion. | Elias Stengel-Eskin, Peter Hase, Mohit Bansal |
| 2025 | NAACL | MAMM-Refine: A Recipe for Improving Faithfulness in Generation with Multi-Agent Collaboration. | David Wan, Justin Chih-Yao Chen, Elias Stengel-Eskin, Mohit Bansal |
| 2025 | NAACL | AdaCAD: Adaptively Decoding to Balance Conflicts between Contextual and Parametric Knowledge. | Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ACL | Soft Self-Consistency Improves Language Models Agents. | Han Wang, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ECCV | Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training. | David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ICLR | Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models. | Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ICLR | Zero and Few-shot Semantic Parsing with Ambiguous Inputs. | Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme |
| 2024 | ICML | MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models. | Justin Chih-Yao Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal |
| 2024 | ICML | Language-guided Skill Learning with Temporal Variational Inference. | Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Ct, Xingdi Yuan |
| 2024 | ICML | ReGAL: Refactoring Programs to Discover Generalizable Abstractions. | Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal |
| 2023 | ACL | Why Did the Chicken Cross the Road? Rephrasing and Analyzing Ambiguous Questions in VQA. | Elias Stengel-Eskin, Jimena Guallar-Blasco, Yi Zhou, Benjamin Van Durme |
| 2023 | CVPR | Super-CLEVR: A Virtual Benchmark to Diagnose Domain Robustness in Visual Reasoning. | Zhuowan Li, Xingrui Wang, Elias Stengel-Eskin, Adam Kortylewski, Wufei Ma, Benjamin Van Durme, Alan L. Yuille |
| 2023 | EMNLP | Did You Mean...? Confidence-based Trade-offs in Semantic Parsing. | Elias Stengel-Eskin, Benjamin Van Durme |
| 2022 | EMNLP | The Curious Case of Control. | Elias Stengel-Eskin, Benjamin Van Durme |
| 2022 | EMNLP | When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems. | Elias Stengel-Eskin, Emmanouil Antonios Platanios, Adam Pauls, Sam Thomson, Hao Fang, Benjamin Van Durme, Jason Eisner, Yu Su |
| 2022 | NAACL | Visual Commonsense in Pretrained Unimodal and Multimodal Models. | Chenyu Zhang, Benjamin Van Durme, Zhuowan Li, Elias Stengel-Eskin |
| 2021 | CoRL | Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions. | Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew C. Gombolay, Gregory D. Hager |
| 2021 | ICCV | Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. | Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille |
| 2020 | ACL | Universal Decompositional Semantic Parsing. | Elias Stengel-Eskin, Aaron Steven White, Sheng Zhang, Benjamin Van Durme |
| 2020 | LREC | The Universal Decompositional Semantics Dataset and Decomp Toolkit. | 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 | EMNLP | A Discriminative Neural Model for Cross-Lingual Word Alignment. | Elias Stengel-Eskin, Tzu-Ray Su, Matt Post, Benjamin Van Durme |
| 2017 | Interspeech | Polyglot and Speech Corpus Tools: A System for Representing, Integrating, and Querying Speech Corpora. | Michael McAuliffe, Elias Stengel-Eskin, Michaela Socolof, Morgan Sonderegger |