EviSnap: Faithful Evidence-Cited Explanations for Cold-Start Cross-Domain Recommendation
2026-04-09T08:52:21Z•4feb9809e56ec4d12c24b0e66e5b9993746319c2ef5e954a071047eba1a56331
ARIAMARVELQwen3RAGWebExpertcold-startconversational-retrievalcross-domain-recommendationdataset-scalingeducation-AIembeddingsevidence-citationexplainabilityhallucinationknowledge-graphslegal-qamodel-safetymultimodal-retrievalnext-basket-recommendationprompting-mitigationrecommender-systemsretrieval-robustnesssession-based-recommendationstatute-retrieval
What happened
This document is an arXiv feed (multiple papers) focused on recommender systems, retrieval, and safety/robustness of LLM-based pipelines. Key contributions include: EviSnap — a cold-start cross-domain recommender that produces evidence-cited, faithful rationales by distilling reviews into facet cards and a concept bank; SearchFireSafety — a statute-centric legal-QA benchmark that exposes retrieval gaps and a safety trade-off (domain adaptation improves retrieval but increases hallucination/incorrect confident answers when statutory evidence is missing); an empirical vulnerability report on QWĒ
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- 4feb9809e56ec4d12c24b0e66e5b9993746319c2ef5e954a071047eba1a56331
- Enrichment time
- 2026-04-09T08:52:21Z
- AI-assisted enrichment
- Yes
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