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
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3 items
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Updated
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1
AI & ML interests
A hub for Finance education, research and industry in the Southeast.
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siddharthlohani
updated
a
collection
1 day ago
siddharthlohani
published
a
model
1 day ago
siddharthlohani
updated
a
model
1 day ago
siddharthlohani
updated
a
collection
1 day ago
siddharthlohani
published
a
dataset
1 day ago
siddharthlohani
updated
a
collection
1 day ago
siddharthlohani
updated
a
dataset
1 day ago
Dataset Viewer issue: JobManagerCrashedError
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#2 opened 10 days ago
by
siddharthlohani
Update README.md
#3 opened 9 days ago
by
lhoestq
siddharthlohani
updated
a
dataset
10 days ago
siddharthlohani
published
a
dataset
13 days ago
Nikita-A-Tatarinov
updated
a
Space
about 1 month ago
Nikita-A-Tatarinov
updated
a
dataset
about 1 month ago
Akhil-Theerthala
posted
an
update
about 1 month ago
Post
353
I'm thrilled to share our new paper, "FinForge: Semi-Synthetic Financial Benchmark Generation" in AI4Finance, AAAI'26!
Key Contributions:
- FinForge Framework: A hybrid pipeline integrating manual/programmatic corpus construction with rigorous LM-based synthesis.
- FinForge-5k Dataset: A new snapshot benchmark comprising over 5,000 human-validated Q&A pairs across 11 financial subdomains, derived from a curated corpus of 100,000 verified documents (143M tokens).
- Benchmarking Results: Evaluation of state-of-the-art open and closed-source models reveals significant variance in financial reasoning capabilities, with leading models achieving approximately 80% accuracy.
Huge thanks to my co-authors @glennmatlin , Anant Gupta, Anirudh JM, Rayan Castilla, and Yi Mei Ng for this collaboration.
You can read the paper: FinForge: Semi-Synthetic Financial Benchmark Generation (2601.06747)
Key Contributions:
- FinForge Framework: A hybrid pipeline integrating manual/programmatic corpus construction with rigorous LM-based synthesis.
- FinForge-5k Dataset: A new snapshot benchmark comprising over 5,000 human-validated Q&A pairs across 11 financial subdomains, derived from a curated corpus of 100,000 verified documents (143M tokens).
- Benchmarking Results: Evaluation of state-of-the-art open and closed-source models reveals significant variance in financial reasoning capabilities, with leading models achieving approximately 80% accuracy.
Huge thanks to my co-authors @glennmatlin , Anant Gupta, Anirudh JM, Rayan Castilla, and Yi Mei Ng for this collaboration.
You can read the paper: FinForge: Semi-Synthetic Financial Benchmark Generation (2601.06747)
Akhil-Theerthala
submitted
a
paper
to Daily Papers
about 1 month ago
Akhil-Theerthala
authored
a
paper
about 1 month ago
Nikita-A-Tatarinov
published
a
Space
about 1 month ago
Akhil-Theerthala
posted
an
update
about 2 months ago
Post
425
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
1355
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