Machine Learning

Learning from Committee: Reasoning Distillation from a Mixture of Teachers with Peer-Review ACL 2025 Learning from Disagreement: Entropy-Guided Few-Shot Selection for Toxic Language Detection ACL 2025 Learning from Diverse Reasoning Paths with Routing and Collaboration EMNLP 2025 Learning from End User Data with Shuffled Differential Privacy over Kernel Densities ICLR 2025 Learning from Few Samples: A Novel Approach for High-Quality Malcode Generation EMNLP 2025 Learning from Hallucinations: Mitigating Hallucinations in LLMs via Internal Representation Intervention IJCNLP 2025 Learning from Impairment: Leveraging Insights from Clinical Linguistics in Language Modelling Research COLING 2025 Learning from Imperfect Human Feedback: A Tale from Corruption-Robust Dueling ICLR 2025 Learning from Label Proportions and Covariate-shifted Instances UAI 2025 Learning from Litigation: Graphs for Retrieval and Reasoning in eDiscovery ACL 2025 Learning from Logical Constraints with Lower- and Upper-Bound Arithmetic Circuits IJCAI 2025 Learning from Loss Landscape: Generalizable Mixed-Precision Quantization via Adaptive Sharpness-Aware Gradient Aligning ICML 2025 Learning from Mistakes: Self-correct Adversarial Training for Chinese Unnatural Text Correction AAAI 2025 Learning from negative feedback, or positive feedback or both ICLR 2025 Learning from Negative Samples in Biomedical Generative Entity Linking ACL 2025 Learning from Neighbors: Category Extrapolation for Long-Tail Learning CVPR 2025 Learning from Noisy Labels via Self-Taught On-the-Fly Meta Loss Rescaling AAAI 2025 Learning from others’ mistakes: Finetuning machine translation models with span-level error annotations ICML 2025 Learning from Sample Stability for Deep Clustering ICML 2025 Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness JMLR 2025 Learning from Streaming Video with Orthogonal Gradients CVPR 2025 Learning from Suboptimal Data in Continuous Control via Auto-Regressive Soft Q-Network ICML 2025 Learning from Sufficient Rationales: Analysing the Relationship Between Explanation Faithfulness and Token-level Regularisation Strategies IJCNLP 2025 Learning from Summarized Data: Gaussian Process Regression with Sample Quasi-Likelihood AAAI 2025 Learning from Synchronization: Self-Supervised Uncalibrated Multi-View Person Association in Challenging Scenes CVPR 2025