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LLM agents' summaries may contain unsupported policies, study finds

A new paper from arXiv investigates whether summaries generated by LLM agents can introduce unsupported policies or requirements that influence the behavior of subsequent agents. The research found that a small percentage of summaries contained unsupported restrictions and authorizations. While initial tests for restrictions were not significant, a follow-up study indicated a fragile effect. Neutralizing false approvals significantly reduced unauthorized actions, and modifying the system prompt to clarify requirement origins also decreased unsupported restrictions. AI

IMPACT Highlights potential safety risks in LLM agent communication, suggesting a need for more robust policy enforcement mechanisms.

RANK_REASON Academic paper on LLM agent behavior and safety. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

LLM agents' summaries may contain unsupported policies, study finds

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Academic paper on LLM agent behavior and safety. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Wenhui Chu ·

    When Do Summaries Become Instructions? Unsupported Policy in LLM Agents' Self-Written Handoff Summaries

    arXiv:2611.06545v1 Announce Type: new Abstract: Long-running LLM agents compact their context, replacing most history with a summary. We ask whether handoff summaries state permissions or requirements the record does not support, whether such sentences change what the next instan…