‘Einstein‘ bot sharpens debate over AI in the classroom
Post Content
arXiv:2603.09963v1 Announce Type: cross Abstract: Collective decision-making in biological and human groups often emerges from simple interaction rules that amplify…
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:2603.07926v2 Announce Type: replace-cross Abstract: Test-time adaptation (TTA) has been widely explored to prevent performance degradation when test data differ…
arXiv:2603.09425v1 Announce Type: cross Abstract: We present CERES (Calibrated Early-warning and Risk Estimation System), an automated probabilistic forecasting system for…
arXiv:2603.09434v1 Announce Type: cross Abstract: Large Language Models (LLMs) are increasingly deployed across diverse real-world applications and user communities. As…
arXiv:2603.08640v2 Announce Type: replace-cross Abstract: AI agents have become surprisingly proficient at software engineering over the past year, largely due…