Generating Out-Of-Distribution Scenarios Using Language Models
Fuente:
arXiv
Saved in:
| Main Authors: | Aasi, Erfan, Nguyen, Phat, Sreeram, Shiva, Rosman, Guy, Karaman, Sertac, Rus, Daniela |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Probing Multimodal LLMs as World Models for Driving
by: Sreeram, Shiva, et al.
Published: (2024)
by: Sreeram, Shiva, et al.
Published: (2024)
See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
by: Mallak, Amir, et al.
Published: (2026)
by: Mallak, Amir, et al.
Published: (2026)
Learning autonomous driving from aerial imagery
by: Murali, Varun, et al.
Published: (2024)
by: Murali, Varun, et al.
Published: (2024)
SAFe-Copilot: Unified Shared Autonomy Framework
by: Nguyen, Phat, et al.
Published: (2025)
by: Nguyen, Phat, et al.
Published: (2025)
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
by: Sreeram, Shiva, et al.
Published: (2025)
by: Sreeram, Shiva, et al.
Published: (2025)
Flow Matching with Uncertainty Quantification and Guidance
by: Han, Juyeop, et al.
Published: (2026)
by: Han, Juyeop, et al.
Published: (2026)
ReGen: Generative Robot Simulation via Inverse Design
by: Nguyen, Phat, et al.
Published: (2025)
by: Nguyen, Phat, et al.
Published: (2025)
Surgical Foundation Model Leveraging Compression and Entropy Maximization for Image-Guided Surgical Assistance
by: Yin, Lianhao, et al.
Published: (2025)
by: Yin, Lianhao, et al.
Published: (2025)
T-QPM: Enabling Temporal Out-Of-Distribution Detection and Domain Generalization for Vision-Language Models in Open-World
by: Naiknaware, Aditi, et al.
Published: (2026)
by: Naiknaware, Aditi, et al.
Published: (2026)
Agentic AIs Are the Missing Paradigm for Out-of-Distribution Generalization in Foundation Models
by: Wang, Xin, et al.
Published: (2026)
by: Wang, Xin, et al.
Published: (2026)
On the Detection of Anomalous or Out-Of-Distribution Data in Vision Models Using Statistical Techniques
by: O'Mahony, Laura, et al.
Published: (2024)
by: O'Mahony, Laura, et al.
Published: (2024)
DSDE: Using Proportion Estimation to Improve Model Selection for Out-of-Distribution Detection
by: Geng, Jingyao, et al.
Published: (2024)
by: Geng, Jingyao, et al.
Published: (2024)
Understanding the Failure Modes of Out-of-Distribution Generalization
by: Nagarajan, Vaishnavh, et al.
Published: (2020)
by: Nagarajan, Vaishnavh, et al.
Published: (2020)
Approximations to the Fisher Information Metric of Deep Generative Models for Out-Of-Distribution Detection
by: Dauncey, Sam, et al.
Published: (2024)
by: Dauncey, Sam, et al.
Published: (2024)
BOOD: Boundary-based Out-Of-Distribution Data Generation
by: Liao, Qilin, et al.
Published: (2025)
by: Liao, Qilin, et al.
Published: (2025)
Hypercone Assisted Contour Generation for Out-of-Distribution Detection
by: Vapsi, Annita, et al.
Published: (2025)
by: Vapsi, Annita, et al.
Published: (2025)
Hypergraph-Transformer (HGT) for Interactive Event Prediction in Laparoscopic and Robotic Surgery
by: Yin, Lianhao, et al.
Published: (2024)
by: Yin, Lianhao, et al.
Published: (2024)
Adversarially Robust Out-of-Distribution Detection Using Lyapunov-Stabilized Embeddings
by: Mirzaei, Hossein, et al.
Published: (2024)
by: Mirzaei, Hossein, et al.
Published: (2024)
Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey
by: Miyai, Atsuyuki, et al.
Published: (2024)
by: Miyai, Atsuyuki, et al.
Published: (2024)
Detecting Out-of-Distribution Objects through Class-Conditioned Inpainting
by: Nguyen, Quang-Huy, et al.
Published: (2024)
by: Nguyen, Quang-Huy, et al.
Published: (2024)
Weight Averaging for Out-of-Distribution Generalization and Few-Shot Domain Adaptation
by: Xu, Shijian
Published: (2025)
by: Xu, Shijian
Published: (2025)
Revisiting Likelihood-Based Out-of-Distribution Detection by Modeling Representations
by: Ding, Yifan, et al.
Published: (2025)
by: Ding, Yifan, et al.
Published: (2025)
On the Out-of-Distribution Generalization of Reasoning in Multimodal LLMs for Simple Visual Planning Tasks
by: Neuhaus, Yannic, et al.
Published: (2026)
by: Neuhaus, Yannic, et al.
Published: (2026)
Bayesian Cross-Modal Alignment Learning for Few-Shot Out-of-Distribution Generalization
by: Zhu, Lin, et al.
Published: (2025)
by: Zhu, Lin, et al.
Published: (2025)
Activation Subspaces for Out-of-Distribution Detection
by: Zöngür, Barış, et al.
Published: (2025)
by: Zöngür, Barış, et al.
Published: (2025)
Out-of-Distribution Detection with Relative Angles
by: Demirel, Berker, et al.
Published: (2024)
by: Demirel, Berker, et al.
Published: (2024)
Gradient-Regularized Out-of-Distribution Detection
by: Sharifi, Sina, et al.
Published: (2024)
by: Sharifi, Sina, et al.
Published: (2024)
Out-Of-Distribution Detection with Diversification (Provably)
by: Yao, Haiyun, et al.
Published: (2024)
by: Yao, Haiyun, et al.
Published: (2024)
What Variables Affect Out-of-Distribution Generalization in Pretrained Models?
by: Harun, Md Yousuf, et al.
Published: (2024)
by: Harun, Md Yousuf, et al.
Published: (2024)
How Does Fine-Tuning Impact Out-of-Distribution Detection for Vision-Language Models?
by: Ming, Yifei, et al.
Published: (2023)
by: Ming, Yifei, et al.
Published: (2023)
Probability Density from Latent Diffusion Models for Out-of-Distribution Detection
by: Järve, Joonas, et al.
Published: (2025)
by: Järve, Joonas, et al.
Published: (2025)
LAION-C: An Out-of-Distribution Benchmark for Web-Scale Vision Models
by: Li, Fanfei, et al.
Published: (2025)
by: Li, Fanfei, et al.
Published: (2025)
ALOOD: Exploiting Language Representations for LiDAR-based Out-of-Distribution Object Detection
by: Kösel, Michael, et al.
Published: (2026)
by: Kösel, Michael, et al.
Published: (2026)
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models
by: Zhou, Andy, et al.
Published: (2023)
by: Zhou, Andy, et al.
Published: (2023)
Self-Calibrated Tuning of Vision-Language Models for Out-of-Distribution Detection
by: Yu, Geng, et al.
Published: (2024)
by: Yu, Geng, et al.
Published: (2024)
Learning with Mixture of Prototypes for Out-of-Distribution Detection
by: Lu, Haodong, et al.
Published: (2024)
by: Lu, Haodong, et al.
Published: (2024)
Vendi Novelty Scores for Out-of-Distribution Detection
by: Pasarkar, Amey P., et al.
Published: (2026)
by: Pasarkar, Amey P., et al.
Published: (2026)
A Mixture of Exemplars Approach for Efficient Out-of-Distribution Detection with Foundation Models
by: Mannix, Evelyn, et al.
Published: (2023)
by: Mannix, Evelyn, et al.
Published: (2023)
GEPC: Group-Equivariant Posterior Consistency for Out-of-Distribution Detection in Diffusion Models
by: Rouzoumka, Yadang Alexis, et al.
Published: (2026)
by: Rouzoumka, Yadang Alexis, et al.
Published: (2026)
Can Your Generative Model Detect Out-of-Distribution Covariate Shift?
by: Viviers, Christiaan, et al.
Published: (2024)
by: Viviers, Christiaan, et al.
Published: (2024)
Similar Items
-
Probing Multimodal LLMs as World Models for Driving
by: Sreeram, Shiva, et al.
Published: (2024) -
See Less, Drive Better: Generalizable End-to-End Autonomous Driving via Foundation Models Stochastic Patch Selection
by: Mallak, Amir, et al.
Published: (2026) -
Learning autonomous driving from aerial imagery
by: Murali, Varun, et al.
Published: (2024) -
SAFe-Copilot: Unified Shared Autonomy Framework
by: Nguyen, Phat, et al.
Published: (2025) -
Compress to Impress: Efficient LLM Adaptation Using a Single Gradient Step on 100 Samples
by: Sreeram, Shiva, et al.
Published: (2025)