Unverified50% confidenceBenchmarkExact time
Against order shuffling, a model specifically trained to recover order can raise the proportion of "source page ranked first" from 3.8% to 93.5%, almost returning to the level without defense.
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10/13/2026
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UnverifiedThe inversion pipeline built in this study can recover about 47% of the original text on the ViDoRe v3 benchmark and ranks its source document first in 98.4% of queries.67% similarVerifiedReranking technology first uses coarse retrieval to recall a large number of candidate segments, then uses a fine-ranking model to re-score them, keeping only the most relevant content to feed into the model.67% similarUnverified文本分块策略、检索召回数量（Top-K）、重排序模型（Reranker）是影响RAG系统最终效果的三个关键变量63% similarUnverifiedCompared with generating an answer in one shot, the ReAct pattern allows the model to correct errors with the help of external information, but it brings risks such as step inflation and mistaken tool calls; in practice, it is usually necessary to set a maximum number of loops and a whitelist of tool calls.63% similarUnverifiedThe authors performed cross-platform replication using the independent data platform PRISM, achieving 82% directional consistency, but with weak rank correlation (rho=0.25).61% similar
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