Unchecked and Overlooked: Addressing the Checkbox Blind Spot in Large
  Language Models with CheckboxQA
Checkboxes are critical in real-world document processing where the presence
or absence of ticks directly informs data extraction and decision-making
processes. Yet, despite the strong performance of Large Vision and Language
Models across a wide range of tasks, they struggle with interpreting checkable
content. This challenge becomes particularly pressing in industries where a
single overlooked checkbox may lead to costly regulatory or contractual
oversights. To address this gap, we introduce the CheckboxQA dataset, a
targeted resource designed to evaluate and improve model performance on
checkbox-related tasks. It reveals the limitations of current models and serves
as a valuable tool for advancing document comprehension systems, with
significant implications for applications in sectors such as legal tech and
finance.
  The dataset is publicly available at:
https://github.com/Snowflake-Labs/CheckboxQA
68026f762e2023f6cf7f0daa
Michał Turski
extracted_pending
2025-04-18T15:27:52.927Z
680268a7fd1fae58d58a2b49
https://cdn-avatars.huggingface.co/v1/production/uploads/no-auth/P96qvBdInKYnVxij7-MM_.png
Michał Turski
user
mturski
68026f762e2023f6cf7f0dab
Mateusz Chiliński
admin_assigned
2025-04-24T11:53:46.684Z
6728d349a30b64dfcb517270
/avatars/78083b511eedb76ee85f9c92faecdc78.svg
Mateusz Chilinski
user
sf-mchilinski
68026f762e2023f6cf7f0dac
Łukasz Borchmann
admin_assigned
2025-04-24T11:53:52.942Z
600b381d3cc3b87db94bc0ce
https://cdn-avatars.huggingface.co/v1/production/uploads/600b381d3cc3b87db94bc0ce/I3xpr4gzcG1uXawXBpWpD.jpeg
Łukasz Borchmann
user
Borchmann
Unchecked and Overlooked: Addressing the Checkbox Blind Spot in Large
  Language Models with CheckboxQA
Checkboxes are critical in real-world document processing where the presence
or absence of ticks directly informs data extraction and decision-making
processes. Yet, despite the strong performance of Large Vision and Language
Models across a wide range of tasks, they struggle with interpreting checkable
content. This challenge becomes particularly pressing in industries where a
single overlooked checkbox may lead to costly regulatory or contractual
oversights. To address this gap, we introduce the CheckboxQA dataset, a
targeted resource designed to evaluate and improve model performance on
checkbox-related tasks. It reveals the limitations of current models and serves
as a valuable tool for advancing document comprehension systems, with
significant implications for applications in sectors such as legal tech and
finance.
  The dataset is publicly available at:
https://github.com/Snowflake-Labs/CheckboxQA
The CheckboxQA dataset evaluates and improves model performance on interpreting checkboxes in document processing, crucial for minimizing errors in industries like legal tech and finance.
CheckboxQA document comprehension systems