RandMark: On Random Watermarking of Visual Foundation Models
arXiv:2603.10695v1 Announce Type: cross Abstract: Being trained on large and diverse datasets, visual foundation models (VFMs) can be fine-tuned to…
AutoViVQA: A Large-Scale Automatically Constructed Dataset for Vietnamese Visual Question Answering
arXiv:2603.09689v2 Announce Type: replace-cross Abstract: Visual Question Answering (VQA) is a fundamental multimodal task that requires models to jointly understand…
GraphKeeper: Graph Domain-Incremental Learning via Knowledge Disentanglement and Preservation
arXiv:2511.00097v2 Announce Type: replace-cross Abstract: Graph incremental learning (GIL), which continuously updates graph models by sequential knowledge acquisition, has garnered…
A Hybrid Quantum-Classical Framework for Financial Volatility Forecasting Based on Quantum Circuit Born Machines
arXiv:2603.09789v1 Announce Type: cross Abstract: Accurate forecasting of financial market volatility is crucial for risk management, option pricing, and portfolio…
Routing without Forgetting
arXiv:2603.09576v1 Announce Type: cross Abstract: Continual learning in transformers is commonly addressed through parameter-efficient adaptation: prompts, adapters, or LoRA modules…
FinTexTS: Financial Text-Paired Time-Series Dataset via Semantic-Based and Multi-Level Pairing
arXiv:2603.02702v2 Announce Type: replace Abstract: The financial domain involves a variety of important time-series problems. Recently, time-series analysis methods that…