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OnTrack: Real-Time Monitoring and Intervention in LLM Agent Trajectories via Streaming Structure-Aware Optimal Transport

Agents are deployed in applications from trip planners and stock trading to IT incident triage. In most cases, LLM agents work autonomously with minimal rule-based safeguarding, leading to cost and safety issues from irreversible actions. Recent works resolve this either by using a safeguard agent to monitor behavior or evaluating logs post-hoc. The first adds cost and latency to every step; the…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

Read the original at arxiv.org →

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I Built a World With Rules. Then I Changed Them.

The Rules Are Hidden. The Timeline Isn't. What happens when you put something inside a world whose rules it doesn't know? I wanted to build a small experiment.

  • NIXIE is a fictional reasoning benchmark for Kaggle.
  • Rules in NIXIE include ERASE or CONTINUE outcomes based on dice rolls.
  • Rules can change, making the experiment more challenging.

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