OR
Olga Russakovsky
cs.CVcs.LGcs.AIcs.HCcs.CLcs.CYcs.ROAI evaluationastro-ph.IMbenchmarking
On Valency
published · living versionsW_h8p95bqc·v1 · currentpublished
Robustness of Internal Signals for Hallucination Detection in Vision-Language Models
with Allison Chen, William Yang, Salma Abdel Magid, Jonathan Williams +1
1 version
W_m6tzhevx·v1published
W_zydnf4v8·v1published
Preprints & journals
83 papers in the corpus · 2014–2026Robustness of Internal Signals for Hallucination Detection in Vision-Language Models2610.27041v1 · Allison Chen, William Yang, Salma Abdel Magid et al.2026 · 0 citationsarXivon Valency
In-Context Learning Can Help Vision-Language Models Overcome Training Priors2610.12942v3 · Kun Wang, Xindi Wu, Sanghyuk Chun et al.2026 · 0 citationsarXiv
Depth as Time in One-Step Generative Models2610.03626v1 · Arnold Caleb Asiimwe, William Yang, Sanghyuk Chun et al.2026 · 0 citationsarXiv
Addressable Memory for Video World Models2608.07408v1 · Xindi Wu, Sven Elflein, James Lucas et al.2026 · 0 citationsarXiv
EgoPolice: A Benchmark for Egocentric Video Understanding in High-Stakes Police Body-Worn Camera Footage2607.06468v1 · Max Gonzalez Saez-Diez, Jihoon Chung, Adam D. Wolsky et al.2026 · 0 citationsarXiv
CoMet: Context and Multiplicity Decomposition for Multimodal Uncertainty Estimation2606.32012v1 · Sanghyuk Chun, William Yang, Amaya Dharmasiri et al.2026 · 0 citationsarXiv
Personalized Generative Models for Contextual Debiasing2605.26353v1 · Xinran Liang, Esin Tureci, Prachi Sinha et al.2026 · 0 citationsarXiv
Machine understanding.42177102 · Chen, Huili, Grimm, Stephen R, Russakovsky, Olga et al.2026 · 2 citationsTrends in cognitive sciences. 2026
Bias at the End of the Score2604.13305v1 · Salma Abdel Magid, Grace Guo, Esin Tureci et al.2026 · 0 citationsarXiv
Video Models Reason Early: Exploiting Plan Commitment for Maze Solving2603.30043v1 · Kaleb Newman, Tyler Zhu, Olga Russakovsky2026 · 0 citationsarXiv
GASS: Geometry-Aware Spherical Sampling for Disentangled Diversity Enhancement in Text-to-Image Generation2602.17200v2 · Ye Zhu, Kaleb S. Newman, Johannes F. Lutzeyer et al.2026 · 0 citationsarXiv
Motion Attribution for Video Generation2601.08828v2 · Xindi Wu, Despoina Paschalidou, Jun Gao et al.2026 · 0 citationsarXiv
Seeing Beyond the Scene: Analyzing and Mitigating Background Bias in Action Recognition2512.17953v1 · Ellie Zhou, Jihoon Chung, Olga Russakovsky2025 · 0 citationsarXiv
Beyond Objects: Contextual Synthetic Data Generation for Fine-Grained Classification2510.24078v2 · William Yang, Xindi Wu, Zhiwei Deng et al.2025 · 0 citationsarXiv
D2D: Detector-to-Differentiable Critic for Improved Numeracy in Text-to-Image Generation2510.19278v1 · Nobline Yoo, Olga Russakovsky, Ye Zhu2025 · 0 citationsarXiv
Presenting Large Language Models as Companions Affects What Mental Capacities People Attribute to Them2510.18039v4 · Allison Chen, Sunnie S. Y. Kim, Angel Franyutti et al.2025 · 3 citationsarXiv
Actions as Language: Fine-Tuning VLMs into VLAs Without Catastrophic Forgetting2509.22195v1 · Asher J. Hancock, Xindi Wu, Lihan Zha et al.2025 · 0 citationsarXiv
The Impact of Coreset Selection on Spurious Correlations and Group Robustness2507.11690v2 · Amaya Dharmasiri, William Yang, Polina Kirichenko et al.2025 · 0 citationsarXiv
Dynamic Diffusion Schrödinger Bridge in Astrophysical Observational Inversions2506.08065v4 · Ye Zhu, Duo Xu, Zhiwei Deng et al.2025 · 2 citationsarXiv
Multiplicity is an Inevitable and Inherent Challenge in Multimodal Learning2505.19614v2 · Sanghyuk Chun, Olga Russakovsky2025 · 1 citationarXiv
Learning a Doubly-Exponential Number of Concepts From Few Examplesvtyxj_v1 · Ilia Sucholutsky, Bonan Zhao, Hee Seung Hwang et al.2025 · 0 citationsPsyArXiv
Visual Compositional Tuning2504.21850v3 · Xindi Wu, Hee Seung Hwang, Polina Kirichenko et al.2025 · 0 citationsarXiv
Interactivity x Explainability: Toward Understanding How Interactivity Can Improve Computer Vision Explanations2504.10745v1 · Indu Panigrahi, Sunnie S. Y. Kim, Amna Liaqat et al.2025 · 3 citationsarXiv
Attention IoU: Examining Biases in CelebA using Attention Maps2503.19846v2 · Aaron Serianni, Tyler Zhu, Olga Russakovsky et al.2025 · 3 citationsarXiv
Fostering Appropriate Reliance on Large Language Models: The Role of Explanations, Sources, and Inconsistencies2502.08554v1 · Sunnie S. Y. Kim, Jennifer Wortman Vaughan, Q. Vera Liao et al.2025 · 57 citationsarXiv
Unifying Specialized Visual Encoders for Video Language Models2501.01426v2 · Jihoon Chung, Tyler Zhu, Max Gonzalez Saez-Diez et al.2025 · 0 citationsarXiv
ICONS: Influence Consensus for Vision-Language Data Selection2501.00654v4 · Xindi Wu, Mengzhou Xia, Rulin Shao et al.2024 · 0 citationsarXiv
The Silent Assistant: NoiseQuery as Implicit Guidance for Goal-Driven Image Generation2412.05101v3 · Ruoyu Wang, Huayang Huang, Ye Zhu et al.2024 · 5 citationsarXiv
SOWing Information: Cultivating Contextual Coherence with MLLMs in Image Generation2411.19182v2 · Yuhan Pei, Ruoyu Wang, Yongqi Yang et al.2024 · 0 citationsarXiv
Benchmark suites instead of leaderboards for evaluating AI fairness.39568473 · Wang, Angelina, Hertzmann, Aaron, Russakovsky, Olga2024 · 17 citationsPatterns (New York, N.Y.). 2024;5(11):101080
ConceptMix: A Compositional Image Generation Benchmark with Controllable Difficulty2408.14339v1 · Xindi Wu, Dingli Yu, Yangsibo Huang et al.2024 · 3 citationsarXiv
What is Dataset Distillation Learning?2406.04284v2 · William Yang, Ye Zhu, Zhiwei Deng et al.2024 · 0 citationsarXiv
D: Scaling Up Deepfake Detection by Learning from Discrepancy2404.04584v2 · Yongqi Yang, Zhihao Qian, Ye Zhu et al.2024 · 20 citationsarXiv
Analyzing the Roles of Language and Vision in Learning from Limited Data2403.19669v2 · Allison Chen, Ilia Sucholutsky, Olga Russakovsky et al.2024 · 2 citationsarXiv
DETER: Detecting Edited Regions for Deterring Generative Manipulations2312.10539v1 · Sai Wang, Ye Zhu, Ruoyu Wang et al.2023 · 2 citationsarXiv
Efficient, Self-Supervised Human Pose Estimation with Inductive Prior Tuning2311.02815v1 · Nobline Yoo, Olga Russakovsky2023 · 2 citationsarXiv
A Sampling-Based Domain Generalization Study with Diffusion Generative Models2310.09213v3 · Ye Zhu, Yu Wu, Duo Xu et al.2023 · 0 citationsarXiv
ImageNet-OOD: Deciphering Modern Out-of-Distribution Detection Algorithms2310.01755v2 · William Yang, Byron Zhang, Olga Russakovsky2023 · 1 citationarXiv
Vision-Language Dataset Distillation2308.07545v4 · Xindi Wu, Byron Zhang, Zhiwei Deng et al.2023 · 0 citationsarXiv
Art and the science of generative AI.37319193 · Epstein, Ziv, Hertzmann, Aaron, Investigators of Human Creativity et al.2023 · 799 citationsScience (New York, N.Y.). 2023;380(6650):1110-1111
ICON: Reliably Benchmarking Predictive Inequity in Object Detection2306.04482v1 · Sruthi Sudhakar, Viraj Prabhu, Olga Russakovsky et al.2023 · 1 citationarXiv
Humans, AI, and Context: Understanding End-Users' Trust in a Real-World Computer Vision Application2305.08598v1 · Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky et al.2023 · 37 citationsarXiv
UFO: A unified method for controlling Understandability and Faithfulness Objectives in concept-based explanations for CNNs2303.15632v1 · Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong et al.2023 · 0 citationsarXiv
Overwriting Pretrained Bias with Finetuning Data2303.06167v2 · Angelina Wang, Olga Russakovsky2023 · 24 citationsarXiv
Boundary Guided Learning-Free Semantic Control with Diffusion Models2302.08357v3 · Ye Zhu, Yu Wu, Zhiwei Deng et al.2023 · 6 citationsarXiv
GeoDE: a Geographically Diverse Evaluation Dataset for Object Recognition2301.02560v4 · Vikram V. Ramaswamy, Sing Yu Lin, Dora Zhao et al.2023 · 8 citationsarXiv
"Help Me Help the AI": Understanding How Explainability Can Support Human-AI Interaction2210.03735v2 · Sunnie S. Y. Kim, Elizabeth Anne Watkins, Olga Russakovsky et al.2022 · 185 citationsProceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23), April 23-28, 2023, Hamburg, Germany. ACM, New York, NY, USA
SiRi: A Simple Selective Retraining Mechanism for Transformer-based Visual Grounding2207.13325v1 · Mengxue Qu, Yu Wu, Wu Liu et al.2022 · 22 citationsarXiv
Overlooked factors in concept-based explanations: Dataset choice, concept learnability, and human capability2207.09615v2 · Vikram V. Ramaswamy, Sunnie S. Y. Kim, Ruth Fong et al.2022 · 38 citationsarXiv
Predicting Word Learning in Children from the Performance of Computer Vision Systems2207.09847v3 · Sunayana Rane, Mira L. Nencheva, Zeyu Wang et al.2022 · 2 citationsarXiv
Career total: 243 works. 83 are in this corpus.Showing the 50 most recent.
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