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Research questionHow can LLM agents reconcile conflicting user instructions, stored knowledge, and live tool observations before acting?An agent may receive incompatible directions, recall outdated or incorrect facts, and observe changing information through its tools. If it fails to identify or resolve those conflicts, the error can propagate into subsequent actions and data flows.
AI
AI Agents
Alignment & Safety
Evaluation & Benchmarks
Reasoning
Latest papersRecent research connected to this question, newest first.KC-Bench: A Dynamic Interactive Benchmark for Evaluating Knowledge Conflicts in LLM AgentsThe evidence comes from KC-Bench, a controlled benchmark with 238 manually screened multi-turn tasks, a user simulator, stateful tools, deterministic environment assertions, an open-source natural-language evaluator, and human trajectory verification. It evaluates model-level behavior across factual correction, identity consistency, and temporal conflict resolution in simulated environments, including nine evaluated models; it does not establish performance for complete deployed agent frameworks.research paper · Sep 3, 2026
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