out-of-distribution generalization

UCSC-NLP at SemEval-2026 Task 13: Multi-View Generalization and Diagnostic Analysis of Machine-Generated Code Detection SemEval 2026 VQAThinker: Exploring Generalizable and Explainable Video Quality Assessment via Reinforcement Learning AAAI 2026 Why Does RL Generalize Better Than SFT? A Data-Centric Perspective on VLM Post-Training CVPR 2026 Accuracy on the wrong line: On the pitfalls of noisy data for out-of-distribution generalisation AISTATS 2025 AdaO2B: Adaptive Online to Batch Conversion for Out-of-Distribution Generalization AAAI 2025 Advancing Generalization Across a Variety of Abstract Visual Reasoning Tasks IJCAI 2025 AIM: Amending Inherent Interpretability via Self-Supervised Masking ICCV 2025 A new framework for evaluating model out-of-distribution generalisation for the biochemical domain ICLR 2025 APLOT: Robust Reward Modeling via Adaptive Preference Learning with Optimal Transport EMNLP 2025 A Rose by Any Other Name: LLM-Generated Explanations Are Good Proxies for Human Explanations to Collect Label Distributions on NLI ACL 2025 Bayesian Low-Rank Learning (Bella): A Practical Approach to Bayesian Neural Networks AAAI 2025 Benign Overfitting in Out-of-Distribution Generalization of Linear Models ICLR 2025 Beyond Accuracy: Revisiting Out-of-Distribution Generalization in NLI Models CoNLL 2025 BrainOOD: Out-of-distribution Generalizable Brain Network Analysis ICLR 2025 Can In-context Learning Really Generalize to Out-of-distribution Tasks? ICLR 2025 CAT: Causal Attention Tuning For Injecting Fine-grained Causal Knowledge into Large Language Models EMNLP 2025 CFD: Learning Generalized Molecular Representation via Concept-Enhanced Feedback Disentanglement ICLR 2025 Clustered Invariant Risk Minimization AISTATS 2025 COUNTS: Benchmarking Object Detectors and Multimodal Large Language Models under Distribution Shifts CVPR 2025 Curriculum Debiasing: Toward Robust Parameter-Efficient Fine-Tuning Against Dataset Biases ACL 2025 Data-Agnostic Augmentations for Unknown Variations: Out-of-Distribution Generalisation in MRI Segmentation MIDL 2025 Data Distributional Properties As Inductive Bias for Systematic Generalization CVPR 2025 Data Drives Unstable Hierarchical Generalization in LMs EMNLP 2025 DDB: Diffusion Driven Balancing to Address Spurious Correlations ICCV 2025 DeCaf: A Causal Decoupling Framework for OOD Generalization on Node Classification AISTATS 2025