IPO-Mine
Collection
All the datasets and models used in the paper titled IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documents • 3 items • Updated
• 4
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A hub for Finance education, research and industry in the Southeast.
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siddharthlohani
updated a collection 10 days ago
siddharthlohani
published a model 10 days ago
siddharthlohani
updated a model 10 days ago
siddharthlohani
updated a collection 10 days ago
siddharthlohani
published a dataset 10 days ago
siddharthlohani
updated a collection 10 days ago
siddharthlohani
updated a dataset 10 days ago
Dataset Viewer issue: JobManagerCrashedError
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#2 opened 19 days ago
by
siddharthlohani
Update README.md
#3 opened 17 days ago
by
lhoestq
siddharthlohani
updated a dataset 19 days ago
siddharthlohani
published a dataset 22 days ago
Nikita-A-Tatarinov
updated a Space about 2 months ago
Nikita-A-Tatarinov
updated a dataset about 2 months ago
Akhil-Theerthala
submitted a paper to Daily Papers about 2 months ago
Akhil-Theerthala
authored a paper about 2 months ago
Nikita-A-Tatarinov
published a Space about 2 months ago
Akhil-Theerthala
posted an
update about 2 months ago
Post
426
Is it better to show a model too many images once (Diversity), or extract as much information from a small set of images?
I have always wanted to do an ablation study on this and recently I got the chance to do exactly that. Why? In applied domains like robotics, manufacturing, or banking, we rarely have the luxury of internet-scale diverse image datasets. We are often "Data Poor" in terms of diversity but "Data Rich" in depth.
The takeaway? Density is efficient for facts but dangerous for reasoning (logical collapse) if you don't have larger scale data.
More details:
https://huggingface.co/blog/Akhil-Theerthala/diversity-density-for-vision-language-models
I have always wanted to do an ablation study on this and recently I got the chance to do exactly that. Why? In applied domains like robotics, manufacturing, or banking, we rarely have the luxury of internet-scale diverse image datasets. We are often "Data Poor" in terms of diversity but "Data Rich" in depth.
The takeaway? Density is efficient for facts but dangerous for reasoning (logical collapse) if you don't have larger scale data.
More details:
https://huggingface.co/blog/Akhil-Theerthala/diversity-density-for-vision-language-models
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- 1 reply
Akhil-Theerthala
posted an
update 3 months ago
Post
1356
For anyone who likes to get their papers summarized, I've tried to make a bentocard summarizer for research papers, that enables us to get overviews of the papers, with possible deepdives where interested. Of course, this has to be improved a lot, so do check the space and give your feedback!
Akhil-Theerthala/PaperStack
Some sample bentogrids are as follows:
Akhil-Theerthala/PaperStack
Some sample bentogrids are as follows:
Akhil-Theerthala
updated a Space 4 months ago
huzaifahp7
updated a dataset 4 months ago