Stengel-Eskin, Elias

21 publications

ICCV 2025 CAPTURE: Evaluating Spatial Reasoning in Vision Language Models via Occluded Object Counting Atin Pothiraj, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal

ICLR 2025 DataEnvGym: Data Generation Agents in Teacher Environments with Student Feedback Zaid Khan, Elias Stengel-Eskin, Jaemin Cho, Mohit Bansal

NeurIPS 2025 LASeR: Learning to Adaptively Select Reward Models with Multi-Arm Bandits Duy Nguyen, Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

TMLR 2025 Reliable and Responsible Foundation Models 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 McAuley, David Alvarez-Melis, Florian Tramèr, Kaidi Xu, Suman Jana, Chris Callison-Burch, Rene Vidal, Filippos Kokkinos, Mohit Bansal, Beidi Chen, Huaxiu Yao

ICLR 2025 See It from My Perspective: How Language Affects Cultural Bias in Image Understanding Amith Ananthram, Elias Stengel-Eskin, Mohit Bansal, Kathleen McKeown

ICLR 2025 System 1.x: Learning to Balance Fast and Slow Planning with Language Models Swarnadeep Saha, Archiki Prasad, Justin Chen, Peter Hase, Elias Stengel-Eskin, Mohit Bansal

CVPR 2025 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

ECCV 2024 Contrastive Region Guidance: Improving Grounding in Vision-Language Models Without Training David Wan, Jaemin Cho, Elias Stengel-Eskin, Mohit Bansal

TMLR 2024 Fundamental Problems with Model Editing: How Should Rational Belief Revision Work in LLMs? Peter Hase, Thomas Hofweber, Xiang Zhou, Elias Stengel-Eskin, Mohit Bansal

NeurIPS 2024 GTBench: Uncovering the Strategic Reasoning Capabilities of LLMs via Game-Theoretic Evaluations Jinhao Duan, Renming Zhang, James Diffenderfer, Bhavya Kailkhura, Lichao Sun, Elias Stengel-Eskin, Mohit Bansal, Tianlong Chen, Kaidi Xu

NeurIPS 2024 LACIE: Listener-Aware Finetuning for Calibration in Large Language Models Elias Stengel-Eskin, Peter Hase, Mohit Bansal

ICML 2024 Language-Guided Skill Learning with Temporal Variational Inference Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan

ICLRW 2024 Language-Guided Skill Learning with Temporal Variational Inference Haotian Fu, Pratyusha Sharma, Elias Stengel-Eskin, George Konidaris, Nicolas Le Roux, Marc-Alexandre Côté, Xingdi Yuan

ICML 2024 MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models Justin Chen, Swarnadeep Saha, Elias Stengel-Eskin, Mohit Bansal

ICML 2024 ReGAL: Refactoring Programs to Discover Generalizable Abstractions Elias Stengel-Eskin, Archiki Prasad, Mohit Bansal

ICLR 2024 Rephrase, Augment, Reason: Visual Grounding of Questions for Vision-Language Models Archiki Prasad, Elias Stengel-Eskin, Mohit Bansal

CoLLAs 2024 Sub-Goal Distillation: A Method to Improve Small Language Agents Maryam Hashemzadeh, Elias Stengel-Eskin, Sarath Chandar, Marc-Alexandre Côté

ICLR 2024 Zero and Few-Shot Semantic Parsing with Ambiguous Inputs Elias Stengel-Eskin, Kyle Rawlins, Benjamin Van Durme

CVPR 2023 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

ICCV 2021 Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Hung Tran, Benjamin Van Durme, Alan Yuille

CoRL 2021 Guiding Multi-Step Rearrangement Tasks with Natural Language Instructions Elias Stengel-Eskin, Andrew Hundt, Zhuohong He, Aditya Murali, Nakul Gopalan, Matthew Gombolay, Gregory Hager