| Locally Invariant Explanations: Towards Causal Explanations through Local Invariant Learning | Sep 29, 2021 | Out-of-Distribution Generalization | —Unverified | 0 | 0 |
| Locally Invariant Explanations: Towards Stable and Unidirectional Explanations through Local Invariant Learning | Jan 28, 2022 | Out-of-Distribution Generalization | —Unverified | 0 | 0 |
| Malign Overfitting: Interpolation Can Provably Preclude Invariance | Nov 28, 2022 | FairnessOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| Med-RLVR: Emerging Medical Reasoning from a 3B base model via reinforcement Learning | Feb 27, 2025 | MathMedical Question Answering | —Unverified | 0 | 0 |
| MEMOIR: Lifelong Model Editing with Minimal Overwrite and Informed Retention for LLMs | Jun 9, 2025 | HallucinationModel Editing | —Unverified | 0 | 0 |
| Meta-Causal Feature Learning for Out-of-Distribution Generalization | Aug 22, 2022 | Causal InferenceOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| Mitigating Shortcuts in Language Models with Soft Label Encoding | Sep 17, 2023 | Natural Language UnderstandingOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| MixStyle Neural Networks for Domain Generalization and Adaptation | Jul 5, 2021 | Data AugmentationDomain Adaptation | —Unverified | 0 | 0 |
| Model Generation with Provable Coverability for Offline Reinforcement Learning | Jun 1, 2022 | Offline RLOut-of-Distribution Generalization | —Unverified | 0 | 0 |
| Modeling the Data-Generating Process is Necessary for Out-of-Distribution Generalization | Jun 15, 2022 | AttributeDomain Generalization | —Unverified | 0 | 0 |
