Finding 4361Emerging EvidenceValidation V0
Method uses multi-part rewards (accuracy, length, format) on two A100 GPUs; confidence-based grouping boosts usable accuracy, with UARPO fine-tuning on 10k+ FVLDB outperforming GPT-4o by 13.48% in high-confidence group evaluations.
75%Confidence
1Evidence objects
v1Version
DraftStatus
Evidence trail
Supporting75% linkage confidence
Method uses multi-part rewards (accuracy, length, format) on two A100 GPUs; confidence-based grouping boosts usable accuracy, with UARPO fine-tuning on 10k+ FVLDB outperforming GPT-4o by 13.48% in high-confidence group evaluations.
key_findings bullet 2 · key_findings
Inspect source: FinZero: Launching Multi-modal Financial Time Series Forecast with Large Reasoning Model →This Finding was extracted from the configured corpus. It is versioned, traceable, and may evolve through editorial review or new corpus evidence.