arXiv:2603.02702v2 Announce Type: replace Abstract: The financial domain involves a variety of important time-series problems. Recently, time-series analysis methods that…
arXiv:2603.09576v1 Announce Type: cross Abstract: Continual learning in transformers is commonly addressed through parameter-efficient adaptation: prompts, adapters, or LoRA modules…
arXiv:2603.09789v1 Announce Type: cross Abstract: Accurate forecasting of financial market volatility is crucial for risk management, option pricing, and portfolio…
arXiv:2511.00097v2 Announce Type: replace-cross Abstract: Graph incremental learning (GIL), which continuously updates graph models by sequential knowledge acquisition, has garnered…
arXiv:2603.08835v1 Announce Type: new Abstract: The rapid adoption of LLM-based agentic systems has produced a rich ecosystem of frameworks (smolagents,…
arXiv:2603.05437v2 Announce Type: replace-cross Abstract: Weakly-Supervised Dense Video Captioning aims to localize and describe events in videos trained only on…
arXiv:2603.08059v1 Announce Type: cross Abstract: With the rapid advancement of commercial multi-modal models, image editing has garnered significant attention due…
arXiv:2603.08090v1 Announce Type: cross Abstract: Significant progress has been achieved in subject-driven text-to-image (T2I) generation, which aims to synthesize new…
arXiv:2603.05768v2 Announce Type: replace-cross Abstract: Model merging integrates multiple task-specific models into a single consolidated one. Recent research has made…
arXiv:2603.06587v1 Announce Type: new Abstract: The deployment of autonomous AI agents in derivatives markets has widened a practical gap between…
