Showing 1–20 of 23 results
/ Date/ Name
Dec 5, 2023Generator Born from ClassifierFeb 24, 2025Introducing Visual Perception Token into Multimodal Large Language ModelJun 17, 2024Neural LineageSep 25, 2024Attention Prompting on Image for Large Vision-Language ModelsJun 14, 2023Distribution Shift Inversion for Out-of-Distribution PredictionJun 16, 2025Discrete Diffusion in Large Language and Multimodal Models: A SurveyJun 12, 2022Regularization Penalty Optimization for Addressing Data Quality Variance in OoD AlgorithmsMay 22, 2025Dimple: Discrete Diffusion Multimodal Large Language Model with Parallel DecodingJul 23, 2024KAN or MLP: A Fairer ComparisonJan 18, 2024Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph ClassificationMay 21, 2025dKV-Cache: The Cache for Diffusion Language ModelsDec 1, 2024Revisiting Self-Supervised Heterogeneous Graph Learning from Spectral Clustering PerspectiveJun 7, 2021OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution GeneralizationOct 2, 2025Every Step Counts: Decoding Trajectories as Authorship Fingerprints of dLLMsMar 3, 2025Multi-Level Collaboration in Model MergingJul 16, 2024Encapsulating Knowledge in One PromptNov 2, 2024HG-Adapter: Improving Pre-Trained Heterogeneous Graph Neural Networks with Dual AdaptersJan 5, 2026Refinement Provenance Inference: Detecting LLM-Refined Training Prompts from Model BehaviorMay 29, 2025Vid-SME: Membership Inference Attacks against Large Video Understanding ModelsAug 29, 2023Robust Long-Tailed Learning via Label-Aware Bounded CVaR