AINewsnow

Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations

This story is from 2026-09-11. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.09448v1 Announce Type: new Abstract: As agentic systems getting adopted rapidly in safety critical applications, it is vital to measure the confidence associated with the agentic actions. In comparison to the traditional machine learning systems, agentic workflows have complex failure mo…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-09-11 04:00 · arXiv cs.AI
    Do Agents Know When They Succeed? Calibrating Agent Confidence from Internal Representations

More stories

  1. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI
  2. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  3. Google Joins OpenAI, Anthropic, Meta in Disclosing AI Hacks — Bloomberg AI
  4. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  5. Optimizing agent system prompts with Amazon Bedrock AgentCore — AWS Machine Learning Blog
  6. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  7. Introducing Astra for Law — OpenAI News
  8. Novo Nordisk Will Use Anthropic’s Claude for Drug Research — Wall Street Journal Technology

Get the daily brief of stories like this at 6:30 every morning →