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Research questionHow can grounded language-model systems preserve object identity from selection through evidence delivery?A retrieval system can return the dataset-linked passage while losing the object selected upstream. That mismatch may deprive the reader of the evidence associated with the system’s actual decision.
AI
AI Memory
Alignment & Safety
Computer Vision
Evaluation & Benchmarks
Information Retrieval
Multimodal Models
Natural Language Processing
Retrieval-Augmented Generation
Latest papersRecent research connected to this question, newest first.Does the Selected Object Reach the Reader? Auditing Identity Handoffs in Grounded Language-Model PipelinesThe source audits selector-to-retriever-to-reader handoffs on HybridQA using resolvable selected-object records, ranked retrieval, and a frozen reader. It distinguishes selected objects from dataset-traced passages and provides an offline record-and-replay procedure for checking object membership, so its conclusions are tied to that dataset, retrieval cutoff, and reader setup.research paper · Sep 7, 2026Whose record is this? Diagnosing and authorizing record use in personalized multimodal modelsThe evidence concerns contextualized visual personalization with supplied images and records, evaluated through subject presence, record-edge validity, and answer support. It covers 3,690 matched diagnostic cases across Qwen-, Phi-, and Gemma-family interfaces and 560 localized DAVIS cases; the claims do not establish natural prevalence, consent, or visual identity.research paper · Sep 4, 2026
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