用模拟器增强检索，让大模型在长科学问答中更精准地锚定事实，RAG落地新思路。
arXiv:2509.25459v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) show promise in generating long-form scientific explanations th…
多粒度知识检索的AI Agent，让多模态大模型精准生成胸部CT报告
arXiv:2607.14264v1 Announce Type: cross Abstract: Automated chest CT report generation remains challenging because clinically faithful reporting requi…
提出一种属性知识RAG模式，通过本地与生产环境的混合检索架构，让LLM在受控条件下选择字段，避免幻觉。
Article URL: https://superml.dev/attribute-knowledge-rag-pattern-llm-governed-attributes Comments URL: https://news.ycombinator.com/item?id=48810859 P…
新基准IsoSci通过同构跨领域科学问题，精准区分大模型的推理能力与知识检索水平。
arXiv:2607.01431v1 Announce Type: cross Abstract: We introduce ISOSCI, a benchmark of isomorphic cross-domain science problem pairs that separates rea…
量化RAG系统的先验主导，破解认知盲点，提升知识检索与生成的可信度。
arXiv:2606.23695v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) grounds Large Language Models in external knowledge, yet curren…
AWS推出Bedrock AgentCore网络搜索，让AI代理实时联网获取准确信息，提升回答可靠性。
AWS introduces Web Search on Amazon Bedrock AgentCore, a fully managed tool that enables agents to ground responses in current, cited web knowledge wi…
新方法InfoMem用答案条件信息增益训练长上下文记忆代理，大幅提升模型知识检索与记忆能力。
arXiv:2606.03329v1 Announce Type: new Abstract: Long-context tasks require LLMs to identify and preserve answer-relevant information from large contex…
基于最新研究的实体链接代理，为问答系统提供精准知识检索与链接能力
arXiv:2508.03865v4 Announce Type: replace Abstract: Some Question Answering (QA) systems rely on knowledge bases (KBs) to provide accurate answers. En…