Showing 1–20 of 44 results
/ Date/ Name
Oct 8, 2022DIMES: A Differentiable Meta Solver for Combinatorial Optimization ProblemsJun 1, 2023Reconstructing Graph Diffusion History from a Single SnapshotJan 11, 2025TUCKET: A Tensor Time Series Data Structure for Efficient and Accurate Factor Analysis over Time RangesJun 6, 2025Saffron-1: Safety Inference ScalingFeb 6, 2026Graph homophily booster: Reimagining the role of discrete features in heterophilic graph learningMay 27, 2024Gradient Compressed Sensing: A Query-Efficient Gradient Estimator for High-Dimensional Zeroth-Order OptimizationSep 16, 2025Graph Homophily Booster: Rethinking the Role of Discrete Features on Heterophilic GraphsMar 10, 2026ReMix: Reinforcement routing for mixtures of LoRAs in LLM finetuningNov 4, 2024Ask, and it shall be given: On the Turing completeness of promptingJun 10, 2024How Efficient is LLM-Generated Code? A Rigorous & High-Standard BenchmarkMay 29, 2023Networked Time Series Imputation via Position-aware Graph Enhanced Variational AutoencodersAug 27, 2023Class-Imbalanced Graph Learning without Class RebalancingOct 3, 2024BACKTIME: Backdoor Attacks on Multivariate Time Series ForecastingMay 24, 2025Breaking Silos: Adaptive Model Fusion Unlocks Better Time Series ForecastingMay 22, 2025Graph Data Selection for Domain Adaptation: A Model-Free ApproachNov 27, 2025CoFiRec: Coarse-to-Fine Tokenization for Generative RecommendationOct 12, 2025Hierarchical LoRA MoE for Efficient CTR Model ScalingJan 30, 2026TSAQA: Time Series Analysis Question And Answering BenchmarkNov 25, 2025Latent Collaboration in Multi-Agent SystemsOct 1, 2025Beyond Log Likelihood: Probability-Based Objectives for Supervised Fine-Tuning across the Model Capability Continuum