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#natural language process... Preprint Oct 2026

Compiling Autoregressive LLM Control into Policy-Exact Parallel Inference for Hierarchical RAG

Large language models increasingly act as controllers in structured decision pipelines, yet their decisions are still executed by autoregressive text decoding. Hierarchical RAG is one such setting: at each frontier of a document tree, an LLM commits to $b$ of $k$ sections under an input-dependent action grammar, execut...

Zehao Lin, Qian-Feng Shen, Xi-Xuan Hao et al. · 0 citations
#artificial intelligence Review Apr 2026

A Survey on Long-Term Memory Security in LLM Agents: Attacks, Defenses, and Governance Across the Memory Lifecycle

This analysis indicates that robust Long-Term Memory security cannot be retrofitted at retrieval or execution time alone, but must be anchored in storage-time provenance, versioning, and policy-aware retention from the outset.

Zehao Lin, Xixuan Hao, Renyu Fu et al. · 20 citations
Book Open access Aug 2026

GraTAG: Production AI Search via Graph-Based Query Decomposition and Triplet Aligned Generation with Rich Multimodal Representations

Traditional search engines struggle to synthesize fragmented information for complex queries, while generative AI search engines face challenges in relevance, comprehensiveness, and presentation. To address these limitations, we introduce Xinyu AI Search, a novel system that incorporates a query-decomposition graph to...

Bo Tang, Junyi Zhu, Ang Li et al. · 0 citations
Preprint Jul 2026

MemRetriever: Learning to Search, Reflect, and Retrieve from Long-Term Memory

Results show that an intermediate decision layer that plans, searches, filters evidence, and determines when to stop can improve both long-term memory retrieval and knowledge-intensive question answering.

Ru-Ya Jiang, Chunyu Li, Zhi-Yu Li · 0 citations

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