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Text-anchored relational extraction eliminates the costly trade-off between claim verification and token-level error localization, matching state-of-the-art factuality detection at a fraction of the inference overhead.
Tool-augmented LLMs follow incorrect tool outputs 78.4-86.0% of the time, raising critical questions about their reliability in conflict resolution scenarios.