Showing 1–13 of 13 results
/ Date/ Name
May 28, 2025Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge EditingDec 23, 2025LoFT-LLM: Low-Frequency Time-Series Forecasting with Large Language ModelsFeb 17, 2025Exploring the Translation Mechanism of Large Language ModelsMar 18, 2024Semantic-Enhanced Representation Learning for Road Networks with Temporal DynamicsJul 22, 2024Spatial-Temporal Cross-View Contrastive Pre-training for Check-in Sequence Representation LearningJun 18, 2024SAGDFN: A Scalable Adaptive Graph Diffusion Forecasting Network for Multivariate Time Series ForecastingJun 18, 2024UrbanLLM: Autonomous Urban Activity Planning and Management with Large Language ModelsSep 10, 2025S$^2$Transformer: Scalable Structured Transformers for Global Station Weather ForecastingMay 4, 2025Handling Imbalanced Pseudolabels for Vision-Language Models with Concept Alignment and Confusion-Aware Calibrated MarginMay 27, 2025Multi-objective Large Language Model Alignment with Hierarchical ExpertsSep 10, 2025Towards Scalable and Structured Spatiotemporal ForecastingMay 24, 2025Knowledge Fusion of Large Language Models Via Modular SkillPacksFeb 28, 2022Points-of-Interest Relationship Inference with Spatial-enriched Graph Neural Networks