Unverified50% confidenceFactExact time
R2VC introduces an external NLI cross-encoder to filter among multiple candidates based on retrieved evidence.
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9/14/2026
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UnverifiedR2VC uses a lightweight sequence-level calibrator for confidence estimation and selective abstention.73% similarUnverifiedR2VC's generator undergoes supervised fine-tuning (SFT) and DPO alignment training to produce multiple diverse structured verdict candidates.72% similarUnverifiedFaster R-CNN is a classic representative of two-stage detection: it first generates candidate bounding boxes through a Region Proposal Network (RPN), then performs fine-grained classification and bounding box regression on the candidates, generally achieving higher accuracy but at slower speed67% similarUnverified2014年R-CNN开创了基于区域提议的两阶段检测范式66% similarUnverifiedThe reranking module typically uses a cross-encoder model to compute relevance scores between queries and documents, performing a secondary ranking of the candidate documents from the initial retrieval.65% similar
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