| VideoTree: Adaptive Tree-based Video Representation for LLM Reasoning on Long Videos Z Wang*, S Yu*, E Stengel-Eskin*, J Yoon, F Cheng, G Bertasius, ... CVPR 2025, 2024 | 147 | 2024 |
| Gtbench: Uncovering the strategic reasoning limitations of llms via game-theoretic evaluations J Duan, R Zhang, J Diffenderfer, B Kailkhura, L Sun, E Stengel-Eskin, ... NeurIPS 2024, 2024 | 130* | 2024 |
| Super-clevr: A virtual benchmark to diagnose domain robustness in visual reasoning Z Li, X Wang, E Stengel-Eskin, A Kortylewski, W Ma, B Van Durme, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 118 | 2023 |
| Contrastive region guidance: Improving grounding in vision-language models without training D Wan, J Cho, E Stengel-Eskin, M Bansal European Conference on Computer Vision, 198-215, 2024 | 62 | 2024 |
| Visual commonsense in pretrained unimodal and multimodal models C Zhang, B Van Durme, Z Li, E Stengel-Eskin Proceedings of the 2022 Conference of the North American Chapter of the …, 2022 | 54 | 2022 |
| On the trustworthiness of generative foundation models: Guideline, assessment, and perspective Y Huang, C Gao, S Wu, H Wang, X Wang, Y Zhou, Y Wang, J Ye, J Shi, ... arXiv preprint arXiv:2502.14296, 2025 | 44 | 2025 |
| The universal decompositional semantics dataset and decomp toolkit AS White, E Stengel-Eskin, S Vashishtha, V Govindarajan, DA Reisinger, ... Proceedings of the Twelfth Language Resources and Evaluation Conference, 2019 | 38 | 2019 |
| See It from My Perspective: How Language Affects Cultural Bias in Image Understanding A Ananthram, E Stengel-Eskin, M Bansal, K McKeown The Thirteenth International Conference on Learning Representations, 2025 | 37* | 2025 |
| LACIE: Listener-Aware Finetuning for Confidence Calibration in Large Language Models E Stengel-Eskin, P Hase, M Bansal NeurIPS 2024, 2024 | 37* | 2024 |
| Soft Self-Consistency Improves Language Model Agents H Wang, A Prasad, E Stengel-Eskin, M Bansal ACL 2024, 2024 | 37 | 2024 |
| Calibrated interpretation: Confidence estimation in semantic parsing E Stengel-Eskin, B Van Durme Transactions of the Association for Computational Linguistics 11, 1213-1231, 2023 | 36 | 2023 |
| A Discriminative Neural Model for Cross-Lingual Word Alignment E Stengel-Eskin, TR Su, M Post, B Van Durme Proceedings of the 2019 Conference on Empirical Methods in Natural Language …, 2019 | 36 | 2019 |
| Rephrase, augment, reason: Visual grounding of questions for vision-language models A Prasad, E Stengel-Eskin, M Bansal The Twelfth International Conference on Learning Representations, 2023 | 35 | 2023 |
| Guiding multi-step rearrangement tasks with natural language instructions E Stengel-Eskin, A Hundt, Z He, A Murali, N Gopalan, M Gombolay, ... Conference on Robot Learning, 1486-1501, 2022 | 35 | 2022 |
| System-1. x: Learning to balance fast and slow planning with language models S Saha, A Prasad, JCY Chen, P Hase, E Stengel-Eskin, M Bansal ICLR 2025, 2024 | 29 | 2024 |
| MAGDi: Structured Distillation of Multi-Agent Interaction Graphs Improves Reasoning in Smaller Language Models JCY Chen, S Saha, E Stengel-Eskin, M Bansal Forty-first International Conference on Machine Learning, 2024 | 29 | 2024 |
| Magicore: Multi-agent, iterative, coarse-to-fine refinement for reasoning J Chen, A Prasad, S Saha, E Stengel-Eskin, M Bansal Proceedings of the 2025 Conference on Empirical Methods in Natural Language …, 2025 | 27 | 2025 |
| Retrieval-augmented generation with conflicting evidence H Wang, A Prasad, E Stengel-Eskin, M Bansal COLM 2025, 2025 | 27 | 2025 |
| Symbolic mixture-of-experts: Adaptive skill-based routing for heterogeneous reasoning JCY Chen, S Yun, E Stengel-Eskin, T Chen, M Bansal arXiv preprint arXiv:2503.05641, 2025 | 24 | 2025 |
| Zero and few-shot semantic parsing with ambiguous inputs E Stengel-Eskin, K Rawlins, B Van Durme The Twelfth International Conference on Learning Representations, 2023 | 24 | 2023 |
Mohit BansalParker Distinguished Professor, UNC Chapel Hill (PECASE/ACL/AAAI Fellow)Verified email at cs.unc.edu
