generalization ability

Do We Need to Penalize Variance of Losses for Learning with Label Noise? JMLR 2026 Monte Carlo Diffusion for Generalizable Learning-Based RANSAC AAAI 2026 Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data? ICLR 2025 Diagnosing Moral Reasoning Acquisition in Language Models: Pragmatics and Generalization EMNLP 2025 DynaMath: A Dynamic Visual Benchmark for Evaluating Mathematical Reasoning Robustness of Vision Language Models ICLR 2025 EfficientLLaVA: Generalizable Auto-Pruning for Large Vision-language Models CVPR 2025 Enhancing the Influence of Labels on Unlabeled Nodes in Graph Convolutional Networks ICML 2025 Exploring the Hidden Reasoning Process of Large Language Models by Misleading Them EMNLP 2025 GeoExplorer: Active Geo-localization with Curiosity-Driven Exploration ICCV 2025 Improving Generalization of Deep Neural Networks by Optimum Shifting AAAI 2025 Large Language Models Badly Generalize across Option Length, Problem Types, and Irrelevant Noun Replacements EMNLP 2025 On the Generalization Ability of Next-Token-Prediction Pretraining ICML 2025 Provably Improving Generalization of Few-shot models with Synthetic Data ICML 2025 Random Splitting Negatively Impacts NER Evaluation: Quantifying and Eliminating the Overestimation of NER Performance ACL 2025 Toward Robust Non-Transferable Learning: A Survey and Benchmark IJCAI 2025 AdapterGNN: Parameter-Efficient Fine-Tuning Improves Generalization in GNNs AAAI 2024 Adversarial Training on Purification (AToP): Advancing Both Robustness and Generalization ICLR 2024 An In-depth Investigation of Sparse Rate Reduction in Transformer-like Models NeurIPS 2024 Center-Based Relaxed Learning Against Membership Inference Attacks UAI 2024 Delving into the Reversal Curse: How Far Can Large Language Models Generalize? NeurIPS 2024 Diversity Is Not All You Need: Training A Robust Cooperative Agent Needs Specialist Partners NeurIPS 2024 DROID: A Large-Scale In-The-Wild Robot Manipulation Dataset RSS 2024 Enhancing Chess Reinforcement Learning with Graph Representation NeurIPS 2024 Examining the Limitations of Computational Rumor Detection Models Trained on Static Datasets COLING 2024 InterpGNN: Understand and Improve Generalization Ability of Transdutive GNNs through the Lens of Interplay between Train and Test Nodes ICLR 2024