CAMI frames multi-index construction for semantic retrieval as a budgeted multi-objective portfolio problem and uses agent-guided search plus confidence-aware pruning to find high-recall configurations with reduced evaluation cost.
arXiv preprint arXiv:2205.09707 , year =
3 Pith papers cite this work. Polarity classification is still indexing.
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Diagnosable ColBERT aligns ColBERT embeddings to an expert-grounded clinical latent space to enable direct diagnosis of model misunderstandings and better training data curation.
ClinicalAligner26AM tops the MultiClinCorpus shared task by distilling Sinkhorn-sharpened multi-level alignments into a clinical encoder for projecting Spanish entity annotations to six target languages with F1 above 0.95.
citing papers explorer
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CAMI: Cost-Aware Agent-Guided Multi-Indexing for Semantic Retrieval
CAMI frames multi-index construction for semantic retrieval as a budgeted multi-objective portfolio problem and uses agent-guided search plus confidence-aware pruning to find high-recall configurations with reduced evaluation cost.
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Diagnosable ColBERT: Debugging Late-Interaction Retrieval Models Using a Learned Latent Space as Reference
Diagnosable ColBERT aligns ColBERT embeddings to an expert-grounded clinical latent space to enable direct diagnosis of model misunderstandings and better training data curation.
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ClinicalAligner26AM: A Cross-Lingual Aligner for Dataset Translation; Evidences from the MultiClinCorpus Shared Task
ClinicalAligner26AM tops the MultiClinCorpus shared task by distilling Sinkhorn-sharpened multi-level alignments into a clinical encoder for projecting Spanish entity annotations to six target languages with F1 above 0.95.