YouZum

OpenAI Details GPT-Red: An Internal Automated Red-Teaming Model That Beat Human Red-Teamers 84% To 13% On Prompt Injection

This week, OpenAI published details of GPT-Red, an internal-only automated red-teaming model. Its job is...

OpenAI called the Hugging Face attack unprecedented. But we’ve been here before. 

This story originally appeared in The Algorithm, our weekly newsletter on AI. To get stories...

Open World Knowledge Aided Single-Cell Foundation Model with Robust Cross-Modal Cell-Language Pre-training

arXiv:2601.05648v1 Announce Type: cross Abstract: Recent advancements in single-cell multi-omics, particularly RNA-seq, have provided profound...

ONLY: One-Layer Intervention Sufficiently Mitigates Hallucinations in Large Vision-Language Models

arXiv:2507.00898v1 Announce Type: cross Abstract: Recent Large Vision-Language Models (LVLMs) have introduced a new paradigm...

Online-PVLM: Advancing Personalized VLMs with Online Concept Learning

arXiv:2511.20056v1 Announce Type: new Abstract: Personalized Visual Language Models (VLMs) are gaining increasing attention for...

Online harassment is entering its AI era

Scott Shambaugh didn’t think twice when he denied an AI agent’s request to contribute to...

One-Token Rollout: Guiding Supervised Fine-Tuning of LLMs with Policy Gradient

arXiv:2509.26313v1 Announce Type: new Abstract: Supervised fine-tuning (SFT) is the predominant method for adapting large...

One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models

arXiv:2505.07167v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have been extensively used across diverse...

We use cookies to improve your experience and performance on our website. You can learn more at Privacy Policy and manage your privacy settings by clicking Settings.

Privacy Preferences

You can choose your cookie settings by turning on/off each type of cookie as you wish, except for essential cookies.

Allow All
Manage Consent Preferences
  • Always Active

Save
en_US