Improving Text-to-Audio Instruction Following via Fine-Grained Feedback from Aud
Recent text-to-audio models generate high-quality audio, but often fail to follow instructions involving multiple sound events and temporal order. This gap arises because existing evaluation and training signals mainly emphasize global simi
https://arxiv.org/abs/2607.13408v1 ↗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
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
C
Chun-Yi Kuan
2.0
low confidence
S
Siwon Kim
1.0
low confidence
B
Byeonggeun Kim
1.0
low confidence
S
Suyoun Kim
1.0
low confidence
B
Bo-Ru Lu
1.0
low confidence
Q
Qinming Tang
1.0
low confidence
A
Ankur Gandhe
1.0
low confidence
H
Hung-yi Lee
2.0
low confidence
C
Chieh-Chi Kao
1.0
low confidence
C
Chao Wang
1.0
low confidence
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