Inspiration
In the fast-paced world of AI, the spotlight almost exclusively shines on "state-of-the-art" breakthroughs and papers accepted by top-tier conferences. However, we believe that true progress is built on the remains of failed experiments and redundant ideas.
Therefore, we created "The Hall of Shame".
We want to accept the "rejected" paper for the research community—a place where the "worst" or most repetitive AI papers are not just archived, but "roasted" with academic precision. We put the true art under the "spotlight" for real appreciations.
Strength
- We build database across AI conferences
- We value every
rejectedpaper - We also use AI to review the paper weakness
What it does
We build a specialized API and search engine that allows users to discover the "bad" AI papers. Unlike traditional search engines, our API provides:
Title & Paper ID & Keyword Search: Find papers based on their specific topics.
Automated Roasting: Each paper comes with a structured "Roast" consisting of a Laymen Summary, a detailed "Why it's Bad" analysis, and a witty Analogy that puts the paper's flaws into perspective.
Cringeworthy Discovery: A "Random" feature to expose users to the most brilliantly useless AI research in the database.
What you CAN Do
- You can support the community by randomly review some paper
- You can fetch the whole list!
- You can search by AI topics and keywords.
- You can add new paper
- You can modify some paper data
- Most importantly, find your friend's paper id, and help them delete it.
What you CANNOT Do
- Find accepted paper
- Find good ideas
- Find next OpenAI
Accomplishments that we're proud of
We didn't build an AI B2B SaaS startup.
What we learned
It is fun to build a useful API that benefits the AI community.
What's next?
We will try to fetch more rejected paper from different AI conferences, and deliver the best of them to developers, researchers, scholars, undergraduates, high schoolers, and startup entrepreneurs
Built With
- acl
- chromadb
- embedding
- fastapi
- iclr
- neurips
- openreview
- pydantic
- transformer
- uvicorn
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