Add QuCo-RAG paper to General section#20
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Adding QuCo-RAG (Findings of ACL 2026, posted to arXiv Dec 22 2025) under Papers → General, in a new 2025 subsection.
QuCo-RAG is a dynamic / architecture-modifying RAG method that quantifies uncertainty using objective pre-training-corpus statistics (Infini-gram over 4T tokens) rather than model-internal signals — addressing the well-known calibration failures of confidence-based methods like FLARE and DRAGIN. Two-stage: pre-generation low-frequency-entity detection + runtime entity co-occurrence verification.
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ACL FindingsArchitecture. Omitted the Semantic Scholar badge since the paper is too new to be indexed — happy to add it later, or feel free to drop it in during review.Thanks!