VerifAI: A Verifiable Open-Source Search Engine for Biomedical Question Answering

2026-04-13T08:52:19Z9311fd7ff74b185de3118bac88243de5affca3f00ee20c3ed687a124f524188f
LLM agentsNLIRAGbiomedical QAclaim verificationcloud support automationdocument rerankingfake ordersfraud mitigationhallucination detectionindustrial deploymentopen-sourceperson searchreasoning-based retrievalrecommender systemsrepresentation learningretrieval utilityself-evolving skillstest-time adaptationtwo-hop QA

What happened

Collection of recent ML/IR arXiv papers (Apr 13, 2026) covering retrieval-augmented generation, verification, recommender-robustness, test-time adaptation, agent skill automation, and reasoning-based reranking. Highlights: VerifAI — an open-source biomedical RAG pipeline that decomposes answers into atomic claims and verifies them with a fine-tuned NLI verifier (claims fewer hallucinated citations, outperforms GPT-4 on HealthVer); DITaR — targeted rectification for fake orders in sequential recommender systems; UATTA — uncertainty-aware offline test-time adaptation for text-based person search

Why it matters

A reviewed impact interpretation has not been published for this record.

Evidence and limitations

Source ID
arxiv_cs_ir
Record identifier
9311fd7ff74b185de3118bac88243de5affca3f00ee20c3ed687a124f524188f
Enrichment time
2026-04-13T08:52:19Z
AI-assisted enrichment
Yes

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