From the original source:
arXiv — cs.AI
Read full article at arXiv — cs.AIThis material was compiled from public sources. If its publication affects your rights → Request removal
Counterfactual Neighborhood Risk Fields: Evidence-Grounded Selective Safety for Vision-Language Models
arXiv:2610.20679v1 Announce Type: new Abstract: Representation-based safety defenses for vision-language models (VLMs) often learn to separate harmful from benign inputs, but separation alone does not establish what a risk score means or when it should be trusted. We introduce…
AI Summary & Key Takeaways
- arXiv:2610.20679v1 Announce Type: new Abstract: Representation-based safety defenses for vision-language models (VLMs) often learn to separate harmful from benign inputs, but separation alone does not establish what a risk score means or when it should be trusted
- We introduce…
Counterfactual Neighborhood Risk Fields: Evidence-Grounded Selective Safety for Vision-Language Models
Related stories
Anthropic trains agent negotiators
✔️ Anthropic trains agent negotiators Agents are taught to negotiate on behalf of the user, and the company transfers the practices of professional negotiators into models in consultation with law firms. Researchers are interested in the protocols of interaction between agents and...
IS GitHub NO LONGER NEEDED? Claude built the replacement in 5 months
IS GitHub NO LONGER NEEDED? Claude built a replacement in 5 months What to do when AI writes code faster than conventional tools can process it? Anthropic set out to create its own Git replacement, Scion. In the video we analyze: 🟠Why AI agents forced us to reconsider...
Astana Hub and Ghent University open a joint laboratory of artificial intelligence and mathematics
Astana Hub and Ghent University open a joint laboratory of artificial intelligence and mathematics Enbekshi QazaQ
RUGoogle выпустила Harness² — фреймворк для самоулучшения ИИ-агентов
🤖 Google выпустила Harness² — фреймворк для самоулучшения ИИ-агентов Google Research открыла исходный код системы, которая позволяет ИИ-агентам самостоятельно улучшать свою работу без переобучения нейросети. Harness² даёт агентам возможность менять промпты, настройки памяти,…