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out-of-distribution generalization

504 papers

OOD GENERALIZATION

Papers

A Causal Marriage between VLM and IRM from Understanding to Reasoning CVPR 2026 Activating Visual Context and Commonsense Reasoning Through Masked Prediction in VLMs AAAI 2026 Affordance Field Intervention: Enabling VLAs to Escape Memory Traps in Robotic Manipulation CVPR 2026 Beyond Query Memorization: Large Language Model Routing with Query Decomposition and Historical Matching ACL 2026 Building Robust Vision Encoders for Cross-Dataset Evaluation in Immunofluorescent Microscopy CVPR 2026 CauVQ: Causal Vector Quantization for Graph OOD Generalization AAAI 2026 COGS: A Causal Representation Learning Framework for Out-of-Distribution Generalization in Time Series AAAI 2026 Distribution Shift Is Key to Learning Invariant Prediction AAAI 2026 Dream at SemEval-2026 Task 13: SALSA for Single-Pass Machine-Generated Code Detection SemEval 2026 Dropout Prompt Learning: Towards Robust and Adaptive Vision-Language Models AAAI 2026 Empowering GUI Agents via Autonomous Experience Exploration and Hindsight Experience Utilization for Task Planning ACL 2026 Exploring Depth Generalization in Large Language Models for Solving Recursive Logic Tasks AAAI 2026 FedSDWC: Federated Synergistic Dual-Representation Weak Causal Learning for OOD AAAI 2026 GCIB: Causal Intervention Guided Graph Information Bottleneck Framework AAAI 2026 Graph neural networks extrapolate out-of-distribution for shortest paths COLT 2026 MAPS: Preserving Vision-Language Representations via Module-Wise Proximity Scheduling for Better Vision-Language-Action Generalization CVPR 2026 MoralReason: Generalizable Moral Decision Alignment for LLM Agents Using Reasoning-Level Reinforcement Learning AAAI 2026 Multi-Task Reinforcement Learning for Enhanced Multimodal LLM-as-a-Judge ACL 2026 OAD-Promoter: Enhancing Zero-Shot VQA Using Large Language Models with Object Attribute Description AAAI 2026 Out-of-Distribution Generalization with a SPARC: Racing 100 Unseen Vehicles with a Single Policy AAAI 2026 Pretraining Helps When Capacity Allows: Evidence from Ultra-Small ConvNets WACV 2026 ProLoG: Hybrid Prompt and LoRA Based Adaptation of Vision-Language Models for OOD Generalization AAAI 2026 Team Duo at SemEval-2026 Task 13: Fine-tuning CodeBERT for Out-of-Distribution AI-Generated Code Detection SemEval 2026 The Geometry of Robustness: Optimizing Loss Landscape Curvature and Feature Manifold Alignment for Robust Finetuning of Vision-Language Models CVPR 2026 Toward Controllable and Trustworthy LLM Reasoning: From Failure Mapping to Cognition-inspired Control and Real-world Impact AAAI 2026