HOLA
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HOLA: Holistic Multi-Modal Alignment for Open-Set 3D Recognition
Announce Type: new Abstract: Open-set 3D recognition requires models that generalize to rare or unseen categories. Recent approaches address this by distilling language-vision knowledge into 3D encoders, typically relying on heavy 2D ViTs and aligning each point cloud with a single image or caption, thus anchoring representations to partial views. We propose aligning each point cloud with multiple images and textual descriptions to capture a more holistic understanding of 3D objects.
The Smart TV in Your LivingRoom Is a Node in the AIScraping Economy
The work at Include Security has us working with AI day in and day out (hacking it, using it, training it, etc). We’re all aware of the community-level opposition happening against datacenters, aimed at improving AI capabilities, being built recently. What you might not be aware of are the distributed efforts to train AI that could be using the devices inside your home.
Quote of the day by Angelina Jolie
Angelina Jolie has rarely been far from the headlines. Whether it is her Academy Award-winning performances, her decades of humanitarian work or the long and turbulent legal battle with her former husband Brad Pitt that has played out in courtrooms and tabloids alike, she remains one of the most watched and discussed figures in global entertainment. In December, while promoting her role in the biopic 'Maria' in which she plays world-renowned opera singer Maria Callas, she offered a rare and...
TA-RAG: Tone-Aware Retrieval-Augmented Generation for Peer-Support Health Communication
Announce Type: new Abstract: Retrieval-augmented generation (RAG) successfully grounds large language model (LLM) outputs in trusted documents, but factual grounding alone is insufficient for sensitive peer-support health communication. In domains such as HIV peer support, responses must also be accessible, stigma-free, empathetic, and tailored to the recipient. This paper presents TA-RAG, a lightweight, prompt-based tone-aware RAG framework that embeds explicit tone control into a RAG...