How do machine learning models in automated receipt scanning apps learn from previous manual categorization corrections made by senior staff accountants?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
How do machine learning models in automated receipt scanning apps learn from previous manual categorization corrections made by senior staff accountants?
1 real search · 1 real-search pass
human in the loop machine learning document processing feedback corrections model retraining receipt classification OCR accountingGoogle ↗
OBSERVEDReason
Badge and edge weight = share of passes that produced the query. Hover a query for its intent and routing format.
Query classes
Google's semantic query class for every sub-query: what kind of answer each search is after, simulated vs real.
ChatGPT real searches (1)
Classes come from the query-classifier (a local Laya model). 1 of 1 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT1 real searches · gpt-6
human in the loop machine learning document processing feedback corrections model retraining receipt classification OCR accounting Google ↗
- Human-in-the-loop Technical Document Annotation · tsapps.nist.gov
- What is a Feedback Loop in Intelligent Document Processing (IDP) · abbyy.com
- HIRA: A Human-in-the-Loop Retrieval-Augmented Cascade for Document Classification in Regulated Industries · arxiv.org
- Advancing Invoice Document Processing at Uber using GenAI · uber.com
- Section 21.4: Building Document AI Pipelines · llmbook.icsgen-ai.org