Showing 1–20 of 29 results
/ Date/ Name
Mar 14, 2021A two-way factor model for high-dimensional matrix dataFeb 6, 2025Exploring Imbalanced Annotations for Effective In-Context LearningFeb 20, 2024TorchCP: A Python Library for Conformal PredictionOct 10, 2025On the Provable Performance Guarantee of Efficient Reasoning ModelsJan 22, 2026Natural Language-Driven Global Mapping of Martian LandformsMar 3, 2026Toward Early Quality Assessment of Text-to-Image Diffusion ModelsMay 27, 2025Semi-Supervised Conformal Prediction With Unlabeled Nonconformity ScoreJan 30, 2026Conditional Performance Guarantee for Large Reasoning ModelsJan 30, 2026HyPAC: Cost-Efficient LLMs-Human Hybrid Annotation with PAC Error GuaranteesJan 28, 2026Joint Estimation of Edge Probabilities for Multi-layer Networks via Neighborhood SmoothingFeb 20, 2026RACER: Risk-Aware Calibrated Efficient Routing for Large Language ModelsFeb 12, 2026Towards Fair and Comprehensive Evaluation of Routers in Collaborative LLM SystemsApr 1, 2026Covariance Matrix Estimation for High-Dimensional Interval-Valued Data with Positive DefinitenessDec 8, 2023Lyrics: Boosting Fine-grained Language-Vision Alignment and Comprehension via Semantic-aware Visual ObjectsSep 25, 2024A generalized e-value feature detection method with FDR control at multiple resolutionsAug 4, 2025FAIR-Pruner: Leveraging Tolerance of Difference for Flexible Automatic Layer-Wise Neural Network PruningMar 28, 2024Enhanced Bayesian Personalized Ranking for Robust Hard Negative Sampling in Recommender SystemsOct 19, 2021Subsampling Spectral Clustering for Large-Scale Social NetworksSep 2, 2017Adaptive ScalingFeb 8, 2024Exploring Learning Complexity for Efficient Downstream Dataset Pruning