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Sep 2026

Enabling Retriever-LLM Connection Across the Semantic Gap in Retrieval-Augmented Generation

ConRAG is proposed, a novel enhanced RAG framework to establish an information connection between retrievers and LLMs in RAG, thereby enhancing relationship modeling of LLMs and is suitable for low-resource scenarios where LLMs and retrievers are frozen.

Fu-Da Ye, Shuang-Yin Li, Yong-Qi Zhang et al. · 0 citations
#artificial intelligence Review Sep 2026

Beyond Final Decisions: A Process-Centric Benchmark for Transparent AI-Assisted Peer Review

This work introduces a process-centric diagnostic benchmark for AI-assisted peer review that compares the decision value of Gold-process variables and Predicted-process variables, and conducts stage-level evaluation, chain-consistency evaluation, and interventional sensitivity analysis.

Siming Yuan, Xue-Yi Zhang, Wang-Ze Ni et al. · 0 citations

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