---
title: "Ranjay Krishna — all works — Elamur Research"
description: "All 194 works of Ranjay Krishna in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/ranjay-krishna/works/"
---
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# Ranjay Krishna — all works

194 works · page 1 of 2 · 1–100 · [← Ranjay Krishna](https://md.research.elamur.ai/free/en/authors/ranjay-krishna/)

**1** [2](https://md.research.elamur.ai/free/en/authors/ranjay-krishna/works/page/2/) [next →](https://md.research.elamur.ai/free/en/authors/ranjay-krishna/works/page/2/)

1. **[Visual Genome: Connecting Language and Vision Using Crowdsourced Dense Image Annotations](https://md.research.elamur.ai/free/en/papers/krishna-2016-visual-genome-connecting-language-vision/) [International Journal of Computer Vision](https://md.research.elamur.ai/free/en/venues/international-journal-of-computer-vision/)**Ranjay Krishna, Yuke Zhu, Oliver Groth, et al.*2016 · 5,876 citations*
2. **[Dense-Captioning Events in Videos ↗](https://doi.org/10.1109/iccv.2017.83) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Ranjay Krishna et al.*2017 · 1,423 citations*
3. **[Image retrieval using scene graphs ↗](https://doi.org/10.1109/cvpr.2015.7298990) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Justin M. Johnson et al.*2015 · 1,154 citations*
4. **[Visual Relationship Detection with Language Priors ↗](https://doi.org/10.1007/978-3-319-46448-0_51) Lecture notes in computer science · no summary yet**Cewu Lu et al.*2016 · 1,121 citations*
5. **[Distilling Step-by-Step! Outperforming Larger Language Models with Less Training Data and Smaller Model Sizes](https://md.research.elamur.ai/free/en/papers/hsieh-2023-distilling-step-step-outperforming-larger/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Cheng-Yu Hsieh, Chun-Liang Li, Chih-kuan Yeh, et al.*2023 · 690 citations*
6. **[A Hierarchical Approach for Generating Descriptive Image Paragraphs ↗](https://doi.org/10.1109/cvpr.2017.356) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jonathan Krause et al.*2017 · 423 citations*
7. **[Explanations Can Reduce Overreliance on AI Systems During Decision-Making ↗](https://doi.org/10.1145/3579605) Proceedings of the ACM on Human-Computer Interaction · no summary yet**Helena Vasconcelos et al.*2023 · 407 citations*
8. **[Generating Semantically Precise Scene Graphs from Textual Descriptions for Improved Image Retrieval ↗](https://aclanthology.org/W15-2812/) Proceedings of the Fourth Workshop on Vision and Language · no summary yet**Sebastian Schuster et al.*2015 · 377 citations*
9. **[Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs ↗](https://doi.org/10.1109/cvpr42600.2020.01025) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jingwei Ji et al.*2020 · 324 citations*
10. **[DataComp: In search of the next generation of multimodal datasets ↗](https://arxiv.org/abs/2304.14108) arXiv:2304.14108 · no summary yet**Samir Yitzhak Gadre et al.*2023 · 224 citations*
11. **[TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering ↗](https://arxiv.org/abs/2303.11897) arXiv:2303.11897 · no summary yet**Yushi Hu et al.*2023 · 218 citations*
12. **[BLINK: Multimodal Large Language Models Can See but Not Perceive ↗](https://arxiv.org/abs/2404.12390) arXiv:2404.12390 · no summary yet**Xingyu Fu et al.*2024 · 206 citations*
13. **[Large Language Model as Attributed Training Data Generator: A Tale of Diversity and Bias](https://md.research.elamur.ai/free/en/papers/yu-2023-large-language-model-attributed-training/) [Conference on Neural Information Processing Systems (NeurIPS)](https://md.research.elamur.ai/free/en/venues/neural-information-processing-systems/)**Yue Yu, Yuchen Zhuang, Jieyu Zhang, et al.*2023 · 202 citations*
14. **[Conceptual Metaphors Impact Perceptions of Human-AI Collaboration ↗](https://doi.org/10.1145/3415234) Proceedings of the ACM on Human-Computer Interaction · no summary yet**Pranav Khadpe et al.*2020 · 192 citations*
15. **[@ CREPE: Can Vision-Language Foundation Models Reason Compositionally? ↗](https://doi.org/10.1109/cvpr52729.2023.01050) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zixian Ma et al.*2023 · 129 citations*
16. **[Holodeck: Language Guided Generation of 3D Embodied AI Environments ↗](https://doi.org/10.1109/cvpr52733.2024.01536) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yue Yang et al.*2024 · 115 citations*
17. **[AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning ↗](https://doi.org/10.1109/cvpr46437.2021.01113) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala*2021 · 113 citations*
18. **[Referring Relationships ↗](https://doi.org/10.1109/cvpr.2018.00718) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ranjay Krishna et al.*2018 · 109 citations*
19. **[Information Maximizing Visual Question Generation ↗](https://doi.org/10.1109/cvpr.2019.00211) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ranjay Krishna, Michael S. Bernstein, Li Fei-Fei*2019 · 105 citations*
20. **[HYPE: A Benchmark for Human eYe Perceptual Evaluation of Generative Models ↗](https://arxiv.org/abs/1904.01121) arXiv (Cornell University) · no summary yet**Sharon Zhou et al.*2019 · 104 citations*
21. **[SugarCrepe: Fixing Hackable Benchmarks for Vision-Language Compositionality ↗](https://doi.org/10.52202/075280-1355) neural information processing systems · no summary yet**Cheng-Yu Hsieh et al.*2023 · 85 citations*
22. **[Visual Sketchpad: Sketching as a Visual Chain of Thought for Multimodal Language Models ↗](https://doi.org/10.52202/079017-4423) neural information processing systems · no summary yet**Xingyu Fu et al.*2024 · 84 citations*
23. **[Mind Your Outliers! Investigating the Negative Impact of Outliers on Active Learning for Visual Question Answering ↗](https://aclanthology.org/2021.acl-long.564/) Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yet**Siddharth Karamcheti et al.*2021 · 79 citations*
24. **[Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps](https://md.research.elamur.ai/free/en/papers/chuang-2024-lookback-lens-detecting-mitigating-contextual/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Yung-Sung Chuang, Linlu Qiu, Cheng-Yu Hsieh, et al.*2024 · 78 citations*
25. **[Socially situated artificial intelligence enables learning from human interaction ↗](https://doi.org/10.1073/pnas.2115730119) Proceedings of the National Academy of Sciences · no summary yet**Ranjay Krishna et al.*2022 · 75 citations*
26. **[NVILA: Efficient Frontier Visual Language Models ↗](https://doi.org/10.1109/cvpr52734.2025.00390) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Zhijian Liu et al.*2025 · 73 citations*
27. **[Tool Documentation Enables Zero-Shot Tool-Usage with Large Language Models ↗](https://arxiv.org/abs/2308.00675) arXiv (Cornell University) · no summary yet**Cheng-Yu Hsieh et al.*2023 · 71 citations*
28. **[Scene Graph Prediction with Limited Labels ↗](https://doi.org/10.1109/iccvw.2019.00220) no summary yet**Vincent S. Chen et al.*2019 · 70 citations*
29. **[Quilt-1M: One Million Image-Text Pairs for Histopathology ↗](https://arxiv.org/abs/2306.11207) PubMed · no summary yet**Wisdom Oluchi Ikezogwo et al.*2023 · 67 citations*
30. **[Quilt-LLaVA: Visual Instruction Tuning by Extracting Localized Narratives from Open-Source Histopathology Videos ↗](https://doi.org/10.1109/cvpr52733.2024.01252) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mehmet Saygın Seyfioğlu et al.*2024 · 62 citations*
31. **[Found in the middle: Calibrating Positional Attention Bias Improves Long Context Utilization ↗](https://aclanthology.org/2024.findings-acl.890/) Findings of the Association for Computational Linguistics: ACL 2024 · no summary yet**Cheng-Yu Hsieh et al.*2024 · 61 citations*
32. **[Visual Program Distillation: Distilling Tools and Programmatic Reasoning into Vision-Language Models ↗](https://doi.org/10.1109/cvpr52733.2024.00916) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Yushi Hu et al.*2024 · 60 citations*
33. **[Embracing Error to Enable Rapid Crowdsourcing ↗](https://doi.org/10.1145/2858036.2858115) CHI Conference on Human Factors in Computing Systems · no summary yet**Ranjay Krishna et al.*2016 · 55 citations*
34. **[Visual Relationships as Functions:Enabling Few-Shot Scene Graph Prediction ↗](https://doi.org/10.1109/iccvw.2019.00214) arXiv:1906.04876 · no summary yet**Apoorva Dornadula et al.*2019 · 54 citations*
35. **[Spurious Rewards: Rethinking Training Signals in RLVR ↗](https://arxiv.org/abs/2506.10947) arXiv:2506.10947 · no summary yet**Rulin Shao et al.*2025 · 53 citations*
36. **[The ActivityNet Large-Scale Activity Recognition Challenge 2018 Summary ↗](https://arxiv.org/abs/1808.03766) arXiv (Cornell University) · no summary yet**Bernard Ghanem et al.*2018 · 51 citations*
37. **[Crowd Research ↗](https://doi.org/10.1145/3126594.3126648) ACM Symposium on User Interface Software and Technology (UIST) · no summary yet**Rajan Vaish et al.*2017 · 48 citations*
38. **[A Glimpse Far into the Future ↗](https://doi.org/10.1145/2998181.2998248) arXiv:1609.04855 · no summary yet**Kenji Hata et al.*2017 · 47 citations*
39. **[Davidsonian Scene Graph: Improving Reliability in Fine-grained Evaluation for Text-to-Image Generation ↗](https://arxiv.org/abs/2310.18235) arXiv (Cornell University) · no summary yet**Jaemin Cho et al.*2023 · 46 citations*
40. **[SPOC: Imitating Shortest Paths in Simulation Enables Effective Navigation and Manipulation in the Real World ↗](https://doi.org/10.1109/cvpr52733.2024.01537) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kiana Ehsani et al.*2024 · 44 citations*
41. **[THE COLOSSEUM: A Benchmark for Evaluating Generalization for Robotic Manipulation ↗](https://doi.org/10.15607/rss.2024.xx.133) arXiv:2402.08191 · no summary yet**Wilbert Pumacay et al.*2024 · 40 citations*
42. **[Wait, We Don't Need to “Wait”! Removing Thinking Tokens Improves Reasoning Efficiency ↗](https://aclanthology.org/2025.findings-emnlp.394/) Findings of the Association for Computational Linguistics: EMNLP 2025 · no summary yet**Chenlong Wang et al.*2025 · 34 citations*
43. **[ImageInWords: Unlocking Hyper-Detailed Image Descriptions ↗](https://aclanthology.org/2024.emnlp-main.6/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Roopal Garg et al.*2024 · 30 citations*
44. **[Molmo2: Open Weights and Data for Vision-Language Models with Video Understanding and Grounding ↗](https://arxiv.org/abs/2601.10611) arXiv (Cornell University) · no summary yet**Christopher Clark et al.*2026 · 28 citations*
45. **[RoboPoint: A Vision-Language Model for Spatial Affordance Prediction for Robotics ↗](https://arxiv.org/abs/2406.10721) arXiv (Cornell University) · no summary yet**Wentao Yuan et al.*2024 · 28 citations*
46. **[MolmoAct: Action Reasoning Models that can Reason in Space ↗](https://doi.org/10.1109/icra57385.2026.11696546) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Jason Lee et al.*2026 · 26 citations*
47. **[Perception Tokens Enhance Visual Reasoning in Multimodal Language Models ↗](https://doi.org/10.1109/cvpr52734.2025.00363) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mahtab Bigverdi et al.*2025 · 24 citations*
48. **[Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation ↗](https://aclanthology.org/2025.acl-long.855/) Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yet**Yue Yang et al.*2025 · 24 citations*
49. **[NaturalBench: Evaluating Vision-Language Models on Natural Adversarial Samples ↗](https://doi.org/10.52202/079017-0542) neural information processing systems · no summary yet**Baiqi Li et al.*2024 · 24 citations*
50. **[Action Genome: Actions as Composition of Spatio-temporal Scene Graphs ↗](https://arxiv.org/abs/1912.06992) arXiv (Cornell University) · no summary yet**Jingwei Ji et al.*2019 · 22 citations*
51. **[Cola: A Benchmark for Compositional Text-to-image Retrieval ↗](https://doi.org/10.52202/075280-2014) neural information processing systems · no summary yet**Arijit Ray et al.*2023 · 21 citations*
52. **[m &m’s: A Benchmark to Evaluate Tool-Use for multi-step multi-modal Tasks ↗](https://doi.org/10.1007/978-3-031-72684-2_2) Lecture notes in computer science · no summary yet**Zixian Ma et al.*2024 · 20 citations*
53. **[Measuring Compositional Consistency for Video Question Answering ↗](https://doi.org/10.1109/cvpr52688.2022.00499) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Mona Gandhi et al.*2022 · 20 citations*
54. **[Manipulate-Anything: Automating Real-World Robots using Vision-Language Models ↗](https://arxiv.org/abs/2406.18915) arXiv (Cornell University) · no summary yet**Jiafei Duan et al.*2024 · 19 citations*
55. **[Designing LLM Chains by Adapting Techniques from Crowdsourcing Workflows ↗](https://doi.org/10.1145/3716134) ACM Transactions on Computer-Human Interaction · no summary yet**Madeleine Grunde-McLaughlin et al.*2023 · 19 citations*
56. **[DreamSync: Aligning Text-to-Image Generation with Image Understanding Feedback ↗](https://aclanthology.org/2025.naacl-long.304/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yet**Jiao Sun et al.*2025 · 18 citations*
57. **[EcoAssistant: Using LLM Assistant More Affordably and Accurately ↗](https://arxiv.org/abs/2310.03046) arXiv (Cornell University) · no summary yet**Jieyu Zhang et al.*2023 · 18 citations*
58. **[AHA: A Vision-Language-Model for Detecting and Reasoning Over Failures in Robotic Manipulation ↗](https://arxiv.org/abs/2410.00371) arXiv (Cornell University) · no summary yet**Jiafei Duan et al.*2024 · 17 citations*
59. **[On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective ↗](https://arxiv.org/abs/2502.14296) arXiv (Cornell University) · no summary yet**Y. Huang et al.*2025 · 16 citations*
60. **[Efficient Inference of Vision Instruction-Following Models with Elastic Cache ↗](https://doi.org/10.1007/978-3-031-72643-9_4) Lecture notes in computer science · no summary yet**Zuyan Liu et al.*2024 · 16 citations*
61. **[Multilingual Diversity Improves Vision-Language Representations ↗](https://doi.org/10.52202/079017-2902) neural information processing systems · no summary yet**Thao Nguyen et al.*2024 · 16 citations*
62. **[Scaling Up LLM Reviews for Google Ads Content Moderation ↗](https://doi.org/10.1145/3616855.3635736) ACM International Conference on Web Search and Data Mining (WSDM) · no summary yet**Wei Qiao et al.*2024 · 16 citations*
63. **[Offline Training of Language Model Agents with Functions as Learnable Weights ↗](https://arxiv.org/abs/2402.11359) arXiv (Cornell University) · no summary yet**Shaokun Zhang et al.*2024 · 16 citations*
64. **[EQUI-VOCAL: Synthesizing Queries for Compositional Video Events from Limited User Interactions ↗](https://doi.org/10.14778/3611479.3611482) Proceedings of the VLDB Endowment · no summary yet**Enhao Zhang et al.*2023 · 16 citations*
65. **[PathFinder: A Multi-Modal Multi-Agent System for Medical Diagnostic Decision-Making Applied to Histopathology ↗](https://doi.org/10.1109/iccv51701.2025.02175) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Fatemeh Ghezloo et al.*2025 · 15 citations*
66. **[SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models ↗](https://arxiv.org/abs/2412.07755) arXiv (Cornell University) · no summary yet**Arijit Ray et al.*2024 · 15 citations*
67. **[Modeling Collaborator: Enabling Subjective Vision Classification with Minimal Human Effort via LLM Tool-Use ↗](https://doi.org/10.1109/cvpr52733.2024.01662) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Imad Eddine Toubal et al.*2024 · 15 citations*
68. **[Deep Bayesian Active Learning for Multiple Correct Outputs ↗](https://arxiv.org/abs/1912.01119) arXiv (Cornell University) · no summary yet**Khaled Jedoui et al.*2019 · 15 citations*
69. **[OBJECT 3DIT: Language-guided 3D-aware Image Editing ↗](https://doi.org/10.52202/075280-0155) neural information processing systems · no summary yet**Oscar Michel et al.*2023 · 14 citations*
70. **[Task Me Anything ↗](https://doi.org/10.52202/079017-0629) neural information processing systems · no summary yet**Jieyu Zhang et al.*2024 · 13 citations*
71. **[Iterated Learning Improves Compositionality in Large Vision-Language Models ↗](https://doi.org/10.1109/cvpr52733.2024.01308) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Chenhao Zheng et al.*2024 · 13 citations*
72. **[Improving Interpersonal Communication by Simulating Audiences with Language Models ↗](https://arxiv.org/abs/2311.00687) arXiv (Cornell University) · no summary yet**Ryan Liu et al.*2023 · 13 citations*
73. **[Agile Modeling: From Concept to Classifier in Minutes ↗](https://doi.org/10.1109/iccv51070.2023.02040) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Otilia Stretcu et al.*2023 · 13 citations*
74. **[VAGEN: Reinforcing World Model Reasoning for Multi-Turn VLM Agents ↗](https://doi.org/10.52202/085713-5754) neural information processing systems · no summary yet**Kangrui Wang et al.*2025 · 12 citations*
75. **[MindCube: Spatial Mental Modeling from Limited Views ↗](https://arxiv.org/abs/2506.21458) arXiv (Cornell University) · no summary yet**Wang, Qineng et al.*2025 · 11 citations*
76. **[Contrastive Flow Matching ↗](https://doi.org/10.1109/iccv51701.2025.00118) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**George Stoica et al.*2025 · 11 citations*
77. **[The Delta Learning Hypothesis: Preference Tuning on Weak Data can Yield Strong Gains ↗](https://arxiv.org/abs/2507.06187) arXiv (Cornell University) · no summary yet**Scott Geng et al.*2025 · 10 citations*
78. **[Is C4 Dataset Optimal for Pruning? An Investigation of Calibration Data for LLM Pruning ↗](https://aclanthology.org/2024.emnlp-main.1004/) Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing · no summary yet**Abhinav Bandari et al.*2024 · 10 citations*
79. **[ActionAtlas: A VideoQA Benchmark for Domain-specialized Action Recognition ↗](https://doi.org/10.52202/079017-4364) neural information processing systems · no summary yet**Mohammadreza Salehi et al.*2024 · 10 citations*
80. **[One Diffusion to Generate Them All ↗](https://doi.org/10.1109/cvpr52734.2025.00255) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Duong H. Le et al.*2025 · 9 citations*
81. **[The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better ↗](https://doi.org/10.52202/079017-0254) neural information processing systems · no summary yet**Scott Geng et al.*2024 · 9 citations*
82. **[Selective Visual Representations Improve Convergence and Generalization for Embodied AI ↗](https://arxiv.org/abs/2311.04193) arXiv (Cornell University) · no summary yet**Ainaz Eftekhar et al.*2023 · 9 citations*
83. **[Semantic and Expressive Variation in Image Captions Across Languages ↗](https://doi.org/10.1109/cvpr52734.2025.02762) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Andre Ye et al.*2023 · 9 citations*
84. **[MolmoSpaces: A Large-Scale Open Ecosystem for Robot Navigation and Manipulation ↗](https://arxiv.org/abs/2602.11337) arXiv (Cornell University) · no summary yet**Yejin Kim et al.*2026 · 8 citations*
85. **[Coarse Correspondences Boost Spatial-Temporal Reasoning in Multimodal Language Model ↗](https://doi.org/10.1109/cvpr52734.2025.00358) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Benlin Liu et al.*2025 · 8 citations*
86. **[RealEdit: Reddit Edits As a Large-scale Empirical Dataset for Image Transformations ↗](https://doi.org/10.1109/cvpr52734.2025.01251) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Peter Sushko et al.*2025 · 8 citations*
87. **[Seeking and Updating with Live Visual Knowledge ↗](https://doi.org/10.52202/085713-2513) neural information processing systems · no summary yet**Mingyang Fu et al.*2025 · 7 citations*
88. **[VIDEOSHOP: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion ↗](https://doi.org/10.1007/978-3-031-73254-6_14) Lecture notes in computer science · no summary yet**Xiang Fan, Anand Bhattad, Ranjay Krishna*2024 · 7 citations*
89. **[AR2-D2:Training a Robot Without a Robot ↗](https://arxiv.org/abs/2306.13818) arXiv (Cornell University) · no summary yet**Jiafei Duan et al.*2023 · 7 citations*
90. **[ELIGN: Expectation Alignment as a Multi-Agent Intrinsic Reward ↗](https://arxiv.org/abs/2210.04365) arXiv (Cornell University) · no summary yet**Zixian Ma et al.*2022 · 7 citations*
91. **[MolmoAct2: Action Reasoning Models for Real-world Deployment ↗](https://arxiv.org/abs/2605.02881) arXiv (Cornell University) · no summary yet**Haoquan Fang et al.*2026 · 6 citations*
92. **[GenEval 2: Addressing Benchmark Drift in Text-to-Image Evaluation ↗](https://arxiv.org/abs/2512.16853) arXiv (Cornell University) · no summary yet**Kamath, Amita et al.*2025 · 6 citations*
93. **[SIMS-V: Simulated Instruction-Tuning for Spatial Video Understanding ↗](https://arxiv.org/abs/2511.04668) arXiv (Cornell University) · no summary yet**Ellis Brown et al.*2025 · 6 citations*
94. **[SAM2Act: Integrating Visual Foundation Model with A Memory Architecture for Robotic Manipulation ↗](https://arxiv.org/abs/2501.18564) arXiv (Cornell University) · no summary yet**Haoquan Fang et al.*2025 · 6 citations*
95. **[Unfolding Spatial Cognition: Evaluating Multimodal Models on Visual Simulations ↗](https://arxiv.org/abs/2506.04633) arXiv (Cornell University) · no summary yet**Linjie Li et al.*2025 · 6 citations*
96. **[Synthetic Visual Genome ↗](https://doi.org/10.1109/cvpr52734.2025.00848) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jae Sung Park et al.*2025 · 6 citations*
97. **[Agonistic Image Generation: Unsettling the Hegemony of Intention ↗](https://doi.org/10.1145/3715275.3732030) ACM Conference on Fairness, Accountability, and Transparency (FAccT) · no summary yet**Andrew Shaw et al.*2025 · 6 citations*
98. **[Interleaved Scene Graphs for Interleaved Text-and-Image Generation Assessment ↗](https://arxiv.org/abs/2411.17188) arXiv (Cornell University) · no summary yet**Dongping Chen et al.*2024 · 6 citations*
99. **[The Hard Positive Truth About Vision-Language Compositionality ↗](https://doi.org/10.1007/978-3-031-72630-9_3) Lecture notes in computer science · no summary yet**Amita Kamath et al.*2024 · 6 citations*
100. **[Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators ↗](https://arxiv.org/abs/2410.12869) arXiv (Cornell University) · no summary yet**Hu, Zhengyu et al.*2024 · 6 citations*

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