Symbal: Detecting Systematic Misalignments in Model-Generated Captions
Multimodal large language models (MLLMs) often introduce errors when generating image captions, resulting in misaligned image-text pairs. Our work focuses on a class of captioning errors that we refer to as systematic misalignments, where a
https://arxiv.org/abs/2607.15216v1 ↗Thesis fit
Good fit
Within your typical scope; diligence still required.
In your usual scope
Idea match
None
How close the company’s idea is to your thesis statement
Sector
llm, ai
Overlap with sectors you care about
Geography
Unknown
Location unknown — scores 0
Your thesis: “We back exceptional technical founders building AI-first products and infrastructure, deploying $100K checks within 24 hours.”
Founder → stable
Traction → stable
Idea vs market ↓ declining
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Correct facts used on the next screening or memo.
People
M
Maya Varma
5.8
low confidence
J
Jean-Benoit Delbrouck
2.0
low confidence
S
Sophie Ostmeier
2.0
low confidence
A
Akshay Chaudhari
2.0
low confidence
C
Curtis Langlotz
2.0
low confidence
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