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out-of-distribution generalization

408 papers

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Also known as

OOD GENERALIZATION

Co-occurring keywords

domain generalization (1522) distribution shift (722) representation learning (6206) spurious correlation (279) causal inference (1630) large language model (13587) graph neural network (3962) domain adaptation (4595) transfer learning (5449) data augmentation (3052)

Papers

Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models CONLL 2025
APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025
FLAMES: Improving LLM Math Reasoning via a Fine-Grained Analysis of the Data Synthesis Pipeline EMNLP 2025
Data Drives Unstable Hierarchical Generalization in LMs EMNLP 2025
Evaluating the Effectiveness and Scalability of LLM-Based Data Augmentation for Retrieval EMNLP 2025
Large Language and Reasoning Models are Shallow Disjunctive Reasoners ACL 2025
HomoGraphAdapter: A Homogeneous Graph Neural Network as an Effective Adapter for Vision-Language Models EMNLP 2025
Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining AAAI 2025
Exploring Explanations Improves the Robustness of In-Context Learning ACL 2025
Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks IJCAI 2025
RePanda: Pandas-powered Tabular Verification and Reasoning ACL 2025
Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025
SOMD2025: A Challenging Shared Tasks for Software Related Information Extraction ACL 2025
Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models ACL 2025
SOMD 2025: Fine-tuning ModernBERT for In- and Out-of-Distribution NER and Relation Extraction of Software Mentions in Scientific Texts ACL 2025
COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts CVPR 2025
FRAMES-VQA: Benchmarking Fine-Tuning Robustness across Multi-Modal Shifts in Visual Question Answering CVPR 2025
ExpertDiff: Head-less Model Reprogramming with Diffusion Classifiers for Out-of-Distribution Generalization IJCAI 2025
FedGOG: Federated Graph Out-of-Distribution Generalization with Diffusion Data Exploration and Latent Embedding Decorrelation AAAI 2025
AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025
Expand Horizon: Graph Out-of-Distribution Generalization via Multi-Level Environment Inference AAAI 2025
Subgraph Aggregation for Out-of-Distribution Generalization on Graphs AAAI 2025
Reproducible Vision-Language Models Meet Concepts Out of Pre-Training CVPR 2025
Out-of-Distribution Generalization on Graphs via Progressive Inference AAAI 2025
Towards Consistent Natural-Language Explanations via Explanation-Consistency Finetuning COLING 2025