FinAbstain: uncertainty-calibrated multimodal RAG for selective financial forecasting
Read the original at arxiv.org→arXiv:2607.24875v1 Announce Type: new Abstract: Large language models (LLMs) can synthesize financial narratives but may express high confidence when evidence is sparse, stale, or contradictory. This failure is...
Original headline: "FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective Financial Forecasting"
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- Jul 29, 04:00 UTC arXiv cs.LG lead source FinAbstain: Uncertainty-Calibrated Multimodal RAG for Selective Financial Forecasting