Author

Vaidehi Patil

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#artificial intelligence Preprint Oct 2026

Why Do Agent Teams Fail Across Boundaries? A Failure Taxonomy for Agent-to-Agent Systems with Private States

Agents are increasingly interacting with other agents that act for different principals (people or organizations on whose behalf they work), such as a buyer's personal agent negotiating with an enterprise's seller agent. In such agent-to-agent (A2A) scenarios, each agent has its own environment and holds information an...

Sarath Shekkizhar, Prathyusha Jwalapuram, Zi-Xuan Ke et al. · 0 citations

#artificial intelligence Preprint Oct 2026

Safeguarding LLMs via Model-Agnostic Latent Safety Signals from Dark Knowledge

LLMs have advanced rapidly, raising growing concerns about their safety. Recent work has proposed approaches to detect and defend against attacks including defenses at decoding stage that leverage models'hidden states. However, existing decoding-stage defenses suffer from two limitations. First, they introduce a trade-...

Wonjun Lee, Kyungsik Yang, Gaeun Ji et al. · 0 citations

#natural language process... Preprint Sep 2026

EvoHarnessBench: Can Your Agents Keep Pace with an Evolving Harness?

EvoHarnessBench is introduced, a benchmark for evaluating agents under controlled harness evolution across three axes (tools, skills, and agents), and establishes harness evolution as a distinct challenge for building agents that can keep pace with an evolving harness while preserving previously effective behavior.

Zi-Xuan Ke, Vaidehi Patil, Hai-Zhou Shi et al. · 5 citations · ⚡1