Information retrieval · RAG evaluation · reproducible ML
Gioia Zheng
Information Retrieval · RAG Evaluation · Grounding · Reproducible ML
I study where retrieval-augmented generation fails, how retrieval and generation errors interact, and how evaluation can make those failures measurable. I build reproducible systems to turn these questions into testable evidence.
- LOC Rome, IT
- EDU B.Sc. ACSAI · Sapienza
- DOMAIN IR · RAG evaluation · reproducible ML
- CODE open source
Featured research projectAll projects
rag-observatory
activeResearch prototype for trace-based RAG observability and failure analysis.
Real traces40 SciFact
Controlled queries20 fixed
Automated tests107
Recent writingAll notes
Why Better Retrieval Does Not Always Improve Grounding
2026-06-23Better ranked evidence is useful, but it is not the same as a faithful answer. I treat retrieval quality and grounding as separate axes.
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