1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CL2026
Re:CAP - Auditing Retrieval Coverage in Production RAG Pipelines
Aviral Joshi, Hanoz Bhathena, Max Nelson +1
Retrieval-augmented generation (RAG) is hard to monitor in production: exhaustive relevance labels do not exist for non-stationary multi-million-passage corpora that re-index in re…
cs.IR2026
Incremental Pooled LLM Evaluation for Cost-Effective Retrieval Model Selection
Max Nelson, Hanoz Bhathena, Aviral Joshi +1
Selecting a retrieval model for a production RAG system requires reliable comparative evaluation, but obtaining relevance judgments at scale is expensive and difficult to repeat as…
cs.CL2024★ 1 cited
Systematic Evaluation of Long-Context LLMs on Financial Concepts
Lavanya Gupta, Saket Sharma, Yiyun Zhao
Long-context large language models (LC LLMs) promise to increase reliability of LLMs in real-world tasks requiring processing and understanding of long input documents. However, th…