Personalization and Evaluation of Conversational Information Access
2026-06-15T08:52:16Z•24040b8819ea0fb0097c2fbd5d96602aa5a35d129f9f0bcc81419e03b0a97c82
ADOREArabic NLPKGERMAR','CoRe','query rewriting','production systemsPADQuranic passage retrievalTASRconversational information accessdataset constructiondenoisingentity linkingevaluation metricshybrid retrievaliterative retrievalknowledge graphlong-context modelingmedical nomenclaturememory-augmented retrievalmood-aware recommendationmusic recommendationontologypersonalizationpopularity biasquery expansionrelevance feedbackstopping rule
What happened
Collection of recent arXiv CS/IR submissions (announced 2026-06-15) covering advances in conversational information access, personalization, retrieval, and evaluation. Highlights include: a thesis on personalized Conversational Information Access introducing ConEL (conversational entity linking), CREL (conversational EL method), LAPS (large-scale personalized conversational dataset construction) and FACE (reference-free conversation-level evaluation); NOMAD, a two-level ontology and large-scale classifier for disease-name nomenclature applied to ICD-10-CM entries; TASR, a simple training-free,
Why it matters
A reviewed impact interpretation has not been published for this record.
Evidence and limitations
- Source ID
- arxiv_cs_ir
- Record identifier
- 24040b8819ea0fb0097c2fbd5d96602aa5a35d129f9f0bcc81419e03b0a97c82
- Enrichment time
- 2026-06-15T08:52:16Z
- AI-assisted enrichment
- Yes
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