Showing 1–19 of 19 results
/ Date/ Name
Apr 20, 2024ISQA: Informative Factuality Feedback for Scientific SummarizationMay 19, 2025DD-Ranking: Rethinking the Evaluation of Dataset DistillationOct 22, 2024Emphasizing Discriminative Features for Dataset Distillation in Complex ScenariosDec 10, 2024A smoothing Anderson acceleration algorithm for nonsmooth fixed point problem with linear convergenceJun 25, 2024Moment-based parameter inference with error guarantees for stochastic reaction networksAug 6, 2024Prioritize Alignment in Dataset DistillationDec 16, 2024FTP: A Fine-grained Token-wise Pruner for Large Language Models via Token RoutingMay 27, 2024A Closer Look at Time Steps is Worthy of Triple Speed-Up for Diffusion Model TrainingJan 30, 2026Learnable Permutation for Structured Sparsity on Transformer ModelsDec 17, 2024Faster Vision Mamba is Rebuilt in Minutes via Merged Token Re-trainingMar 2, 2026Towards Principled Dataset Distillation: A Spectral Distribution PerspectiveMar 18, 2026UAV-CB: A Complex-Background RGB-T Dataset and Local Frequency Bridge Network for UAV DetectionJul 7, 2025Neural-Driven Image EditingSep 28, 2022FIRE: A Failure-Adaptive Reinforcement Learning Framework for Edge Computing MigrationsAug 9, 2025MDK12-Bench: A Comprehensive Evaluation of Multimodal Large Language Models on Multidisciplinary ExamsApr 7, 2025Towards Optimal Heterogeneous Client Sampling in Multi-Model Federated LearningApr 7, 2025Dynamic Vision MambaMay 22, 2025REPA Works Until It Doesn't: Early-Stopped, Holistic Alignment Supercharges Diffusion TrainingJun 19, 2025Drag-and-Drop LLMs: Zero-Shot Prompt-to-Weights