ReSURE reduces the harm of noisy dialogue data during fine-tuning by grouping samples by dialogue depth and softly down-weighting high-loss examples, improving multi-turn benchmarks modestly.
Title resolution pending
1 Pith paper cite this work. Polarity classification is still indexing.
1
Pith paper citing it
fields
cs.CL 1years
2025 1verdicts
CONDITIONAL 1representative citing papers
citing papers explorer
-
ReSURE: Regularizing Supervision Unreliability for Multi-turn Dialogue Fine-tuning
ReSURE reduces the harm of noisy dialogue data during fine-tuning by grouping samples by dialogue depth and softly down-weighting high-loss examples, improving multi-turn benchmarks modestly.