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#graph-retrieval

EviReform: Evidence-Guided Query Reformulation for Multi-Hop Graph Retrieval

arXiv cs.CL · 2026-08-14 Cached

EviReform 提出了一种证据引导的查询重写方法,用于多跳图检索,将检索请求的修订与证据聚合分离,并在 2WikiMultiHopQA、HotpotQA 和 MuSiQue 上超过了最强基线,分别提升了最多 5.59 Recall@5 和 4.50 F1。

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#graph-retrieval

@alibaba_cloud: One PolarDB, one MemOS—persistent, never-blackout memory for AI. PolarDB & MemTensor launch a one-stop AI memory soluti…

X AI KOLs Timeline · 2026-07-30 Cached

Alibaba Cloud launches a one-stop AI memory solution combining PolarDB, MemOS, and MemTensor, offering relational, vector, and graph retrieval in a single PolarDB-PG instance, reducing P99 latency by up to 89.2%.

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#graph-retrieval

@garrytan: Lots of retrieval systems seem to give you keyword matching and graph retrieval in a raw format This plus graph travers…

X AI KOLs Following · 2026-05-23 Cached

Garry Tan highlights a retrieval system that uniquely combines keyword matching, graph traversal, and gap analysis, an approach not seen elsewhere.

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#graph-retrieval

PersonalAI 2.0: Enhancing knowledge graph traversal/retrieval with planning mechanism for Personalized LLM Agents

Hugging Face Daily Papers · 2026-05-13 Cached

PersonalAI 2.0 introduces a framework that enhances LLM-based systems by integrating external knowledge graphs with dynamic multistage query processing and adaptive planning mechanisms, achieving reductions in hallucination rates and improved precision across multiple benchmarks.

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