PACT: Can Enterprise AI Assistants Be Trusted Under Pressure?

• 类型：arxiv
• 标识：2609.18605
• 链接：https://arxiv.org/abs/2609.18605
• 主分类：agent
• 形态：benchmark
• TLDR：As corporate AI adoption continues to grow, enterprise-grade LLM agents are being deployed into sensitive contexts such as hiring, healthcare, and finance. In these contexts, compliance with rules specified in an agent's system context is a first-order legal concern. Currently, no evaluation framework systematically measures which LLM models tend to violate compliance rules, especially under pressure from a persistent user, a hurried manager, or circumstances where violation is convenient or attractive. We introduce PACT (Pressure-Applied Compliance Testing), a benchmark for rule-following und
• 副分类：evaluation
• 待LLM分类：否
• 来源文件：
• /inbox/tom/_candidates/2026-09-18-agent-rag-longcontext-candidates.json