FIDES detects token-level retrieval-memory conflicts via output, hidden, and trajectory signals to selectively apply contrastive decoding, raising context fidelity by 3-13 points over baselines across 18 settings on models up to 70B.
strongest same-budget training-free base- line
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.AI 1years
2026 1verdicts
UNVERDICTED 1representative citing papers
citing papers explorer
-
FIDES: Faithful Inference via Deep Evidence Signals for Retrieval-Memory Conflict in RAG
FIDES detects token-level retrieval-memory conflicts via output, hidden, and trajectory signals to selectively apply contrastive decoding, raising context fidelity by 3-13 points over baselines across 18 settings on models up to 70B.