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arXiv:2508.19843v3 Announce Type: replace-cross Abstract: The broad capabilities and substantial resources required to train Large Language Models (LLMs) make them...
arXiv:2510.08956v2 Announce Type: replace Abstract: We study how open source communities describe participation and control through version controlled governance documents....
How do you build one open model that can reliably understand text, images, audio and video while still running efficiently?...
arXiv:2511.10686v1 Announce Type: new Abstract: This work aims to investigate how different Large Language Models (LLMs) alignment methods affect the...
arXiv:2511.10846v1 Announce Type: new Abstract: Automated emotion detection is widely used in applications ranging from well-being monitoring to high-stakes domains...
arXiv:2411.03895v2 Announce Type: replace Abstract: In theatre, playwrights use the portrayal of characters to explore culturally based gender norms. In...
arXiv:2511.11324v1 Announce Type: new Abstract: Digitized histopathology analysis involves complex, time-intensive workflows and specialized expertise, limiting its accessibility. We introduce...
arXiv:2511.10688v1 Announce Type: new Abstract: As large language models (LLMs) are adopted in an increasingly wide range of applications, user-model...
In this tutorial, we build an advanced interactive dashboard using Textual, and we explore how terminal-first UI frameworks can feel...
EVALOOOP: A Self-Consistency-Centered Framework for Assessing Large Language Model Robustness in Programming
Europe’s extreme heat is shutting down power plants
Estranged Predictions: Measuring Semantic Category Disruption with Masked Language Modelling
Estimating Privacy Leakage of Augmented Contextual Knowledge in Language Models
Estimating LLM Uncertainty with Logits
Establishing AI and data sovereignty in the age of autonomous systems
Erasing Conceptual Knowledge from Language Models
Epistemic Diversity and Knowledge Collapse in Large Language Models
EPFL Researchers Unveil FG2 at CVPR: A New AI Model That Slashes Localization Errors by 28% for Autonomous Vehicles in GPS-Denied Environments
