Real ChatGPT answer · index seednnOhbfU6pTIcompleteB2B software · AI and automation toolsinformational
What are the limitations of current vision-language models when extracting unstructured table data from complex PDF invoices?
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Fan-out diagram
The searches the AI actually ran for this prompt.
SEED QUERY
What are the limitations of current vision-language models when extracting unstructured table data from complex PDF invoices?
3 real searches · 1 real-search pass
vision language models document understanding table extraction PDF invoices limitations benchmark 2024 2025 OCR spatial reasoning hallucinationGoogle ↗
OBSERVEDReason
DocVQA table extraction benchmark financial documents invoices vision language models limitations 2025Google ↗
OBSERVEDReason
PDF invoice table extraction VLM evaluation errors numerical accuracy multi-page tables 2025Google ↗
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 (3)
Classes come from the query-classifier (a local Laya model). 3 of 3 calls are low-confidence (under 50%) — hover a query in the table to see its confidence.
Searches and sources
ChatGPT3 real searches · gpt-6
vision language models document understanding table extraction PDF invoices limitations benchmark 2024 2025 OCR spatial reasoning hallucination Google ↗
DocVQA table extraction benchmark financial documents invoices vision language models limitations 2025 Google ↗
PDF invoice table extraction VLM evaluation errors numerical accuracy multi-page tables 2025 Google ↗
- MMLONGBENCH-DOC: Benchmarking Long-context Document Understanding with Visualizations · papers.nips.cc
- A Survey on MLLM-based Visually Rich Document Understanding: Methods, Challenges, and Emerging Trends · pmc.ncbi.nlm.nih.gov
- Vision Language Models for Spreadsheet Understanding: Challenges and Opportunities · aclanthology.org
- Zero-Shot Table Extraction in Business Documents: A Unified Benchmark with Error Taxonomy and Ecological Analysis · openaccess.thecvf.com
Queries
3 queries · click a column to sort
| Query / type | Search | Intent | Query class | Routing format | Cluster | Freq ↓ | Weight |
|---|---|---|---|---|---|---|---|
vision language models document understanding table extraction PDF invoices limitations benchmark 2024 2025 OCR spatial reasoning hallucination OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
DocVQA table extraction benchmark financial documents invoices vision language models limitations 2025 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 | |
PDF invoice table extraction VLM evaluation errors numerical accuracy multi-page tables 2025 OBSERVED | Google ↗ AI Mode ↗ | — | Reason | — | — | 1x of 1 |