Author

Aviral Joshi

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#natural language process... Preprint Sep 2026

Re:CAP - Auditing Retrieval Coverage in Production RAG Pipelines

Re:CAP is a reference-free audit loop applied to a deployed RAG pipeline's initial answer and retrieved context that identifies the topics already covered, generates probing questions for plausibly missing topics, retrieves candidate documents, and applies an LLM-as-judge to retain only those that introduce previously-...

Aviral Joshi, Hanoz Bhathena, Max Nelson et al. · 0 citations

#natural language process... Preprint Sep 2026

Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection

Pooled LLM evaluation is a practical and cost-effective workflow for incremental retrieval model selection in deployed systems, and 97% of pairwise system orderings are preserved once bootstrap uncertainty in the qrels is taken into account.

Max Nelson, Hanoz Bhathena, Aviral Joshi et al. · 0 citations