Mixture of Demonstrations for Textual Graph Understanding and Question Answering
2026-03-26T08:52:17Z•088eed5e6efc479415ca593a401b85dbdae0ea48da672fd3351f217cd1fcd3ad
EHRGraphRAGLLMMixture-of-ExpertsPHIRAGauthenticationbiasbiosecuritydataset releasedocument chunkingfairnessgenerative retrievalindustrial searchinformation extractionlong-documentmetadata repositorymodel scalingprivacyrecommendation systemsreinforcement learningretrieval-augmented generationsummarizationvirology
What happened
Collection of recent ML/LLM papers (RAG/GraphRAG, retrieval, summarization, recommendation, scaling) plus domain applications: MixDemo (Mixture-of-Experts GraphRAG with query-specific graph encoder), VILLA (multi-step RAG for scientific information extraction; curated virology mutation dataset), S4CMDR (ISO-based metadata repository for EHRs with on‑prem/cloud deployment and authentication), and multiple works on explainable recommendation, fairness in RAG, generative retrieval/search (OneSearch‑V2), long-document summarization for reranking (SumRank), data+model co‑design (UniScale), and RAG/
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- 088eed5e6efc479415ca593a401b85dbdae0ea48da672fd3351f217cd1fcd3ad
- Enrichment time
- 2026-03-26T08:52:17Z
- AI-assisted enrichment
- Yes
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