arXiv:2603.29805v2 Announce Type: replace-cross Abstract: A key problem in the modern study of AI is predicting and understanding emergent capabilities…
arXiv:2604.00005v1 Announce Type: new Abstract: Emotion plays an important role in human cognition and performance. Motivated by this, we investigate…
arXiv:2604.00053v1 Announce Type: cross Abstract: As large language models (LLMs) are increasingly used in domain-specific applications, including climate change and…
arXiv:2603.29654v1 Announce Type: cross Abstract: Aligning human-interpretable concepts with the internal representations learned by modern machine learning systems remains a…
arXiv:2603.29661v1 Announce Type: cross Abstract: Existing narrative extraction methods face a trade-off between coherence, interactivity, and multi-storyline support. Narrative Maps…
arXiv:2510.23364v2 Announce Type: replace-cross Abstract: Flood hazard mapping is essential for disaster prevention but remains challenging in data-scarce regions, where…
arXiv:2603.14841v2 Announce Type: replace-cross Abstract: Road crashes remain a leading cause of preventable fatalities. Existing prediction models predominantly produce binary…
arXiv:2512.16081v2 Announce Type: replace-cross Abstract: Social interactions incorporate nonverbal signals to convey emotions alongside speech, including facial expressions and body…
arXiv:2505.18602v3 Announce Type: replace-cross Abstract: Large language models (LLMs) have revolutionized algorithm development, yet their application in symbolic regression, where…
arXiv:2603.28707v2 Announce Type: replace-cross Abstract: We present a physics-based neural network framework for the discovery of constitutive models in fully…
