out-of-distribution robustness

A Closer Look at Cross-Domain Few-Shot Object Detection: Fine-Tuning Matters and Parallel Decoder Helps CVPR 2026 Debiasing Logical Fallacy Detection for Real-World Robustness via Counterfactually Augmented Data ACL 2026 Generalizing Trust: Weak-to-Strong Trustworthiness in Language Models ACL 2026 Low-Rank Test-Time Training for Pre-Trained Point Cloud Models CVPR 2026 Measuring Distribution Shift in User Prompts and Its Effects on LLM Performance ACL 2026 Safety Beyond the Training Data: Robust Out-of-Distribution MPC via Conformalized System Level Synthesis L4DC 2026 UniGame: Turning a Unified Multimodal Model Into Its Own Adversary CVPR 2026 Benchmarking Object Detectors under Real-World Distribution Shifts in Satellite Imagery CVPR 2025 CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models EMNLP 2025 CNS-Bench: Benchmarking Image Classifier Robustness Under Continuous Nuisance Shifts ICCV 2025 Demystifying optimized prompts in language models EMNLP 2025 Domain Generalization using Large Pretrained Models with Mixture-of-Adapters WACV 2025 FOCoOp: Enhancing Out-of-Distribution Robustness in Federated Prompt Learning for Vision-Language Models ICML 2025 Information Density Principle for MLLM Benchmarks ICCV 2025 Parameter Expanded Stochastic Gradient Markov Chain Monte Carlo ICLR 2025 Scaling 3D Compositional Models for Robust Classification and Pose Estimation ICCV 2025 MoE-RBench: Towards Building Reliable Language Models with Sparse Mixture-of-Experts ICML 2024 A Bayesian Approach to OOD Robustness in Image Classification CVPR 2024 A theoretical design of concept sets: improving the predictability of concept bottleneck models NeurIPS 2024 Bridging Distribution Gap via Semantic Rewriting with LLMs to Enhance OOD Robustness ACL 2024 Delving into Qualitative Implications of Synthetic Data for Hate Speech Detection EMNLP 2024 Domain Aligned CLIP for Few-Shot Classification WACV 2024 LoRASC: Expressive and Generalizable Low-rank Adaptation for Large Models via Slow Cascaded Learning EMNLP 2024 MetaPhysiCa: Improving OOD Robustness in Physics-informed Machine Learning ICLR 2024 Reconstruct and Match: Out-of-Distribution Robustness via Topological Homogeneity NeurIPS 2024