three-phase-resolution-framework
IN premise — summaries/2026/08/24/xu-2024-knowledge-conflicts-survey-s5-challenges-and-future-directions.md
Created 2026-08-25T02:59:03+00:00
The survey proposes a three-phase conflict-resolution framework: (1) training phase to mitigate internal parameter inconsistency, (2) generation phase with algorithmic decoding intervention, (3) post-hoc phase with post-processing correction.
Summary
This frames fixing contradictions in AI outputs as a layered pipeline: clean up the model's internal logic during training, steer the text-generation process itself, and then catch any remaining errors in a final pass. It matters because it implies no single intervention point is sufficient — the system needs overlapping safeguards across the entire lifecycle to handle conflicting beliefs or inconsistencies.