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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...

Most text to video models generate a single clip from a prompt and then stop. They do not keep an...

Cerebras has released MiniMax-M2-REAP-162B-A10B, a compressed Sparse Mixture-of-Experts (SMoE) Causal Language Model derived from MiniMax-M2, using the new Router weighted...