AI Research Program
Winter Deadline: Sunday, October 19, 11:59 pm PT.
Publish your own professional research to top AI conferences
Immerse yourself in the process of real-world AI research by delving into literature review, developing and implementing your own ML algorithms, communicating your results in a research publication, and submitting research to top AI research conferences like NeurIPS, EMNLP, and ACL.
Conference Acceptances
Algoverse research teams consistently achieve publication success at top AI conferences such as NeurIPS, EMNLP, and ACL, which are typically reserved for top industry labs and leading universities. Acceptance rates at these conferences/workshops are typically around 30-50%.
To read more about our research outcomes and conference publications, visit our Research page.
Fall 2024
59%
Acceptance (13 of 22 teams)
Winter 2024
70%
Acceptance (14 of 20 teams)
Spring 2025
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Results Pending
Summer 2025
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Results Pending
Success Stories
Tim, Ryan, Ayush, and Kaylee’s paper was featured in OpenAI’s PaperBench
In an outstanding recognition of their cutting-edge work, their paper, Semantic Self-Consistency was featured among 20 state-of-the-art AI research papers in OpenAI’s PaperBench. OpenAI handpicked these 20 papers from ICML and NeurIPS and reached out to collaborate with our student author, Tim.
Earlier, their paper was also accepted at NeurIPS MATH-AI. Notably, after their NeurIPS presentation, two of the four researchers were admitted to Stanford University.*
*The other two researchers were 1: already accepted to college at the time they joined the project and 2: based in Germany
As a high school student, Abhay’s research was accepted to NeurIPS and cited by Microsoft
Abhay’s paper, AAVENUE, was accepted to an EMNLP Workshop and the NeurIPS High School Track (5% acceptance rate). Furthermore, it was cited by researchers at Microsoft, Google, Stanford, Carnegie Mellon, Columbia, Oxford, University of Washington, and other institutions. Abhay came into the program with no prior experience in AI or research.
After Algoverse, Abhay acquired internships at Stanford, MIT, and Harvard (Reference: LinkedIn).
Recently, as a result of his Algoverse research, Abhay was honored with the Davidson Fellowship award, receiving a $25,000 scholarship. He was one of only 20 recipients selected from over 1,200 applicants, recognized for his exceptional research and impact.
Words from Our Alumni
Meet Our Team
We are a dedicated team of Ph.D researchers from leading AI universities and AI researchers in the industry, with an extensive background in teaching.
Vasu Sharma
Principal Investigator
Kevin Zhu
Program Director
Vivek Verma
Principal Investigator
Sean O'Brien
Principal Investigator
Around the Algoverse
Acceptances at top conferences, research collaborations, student successes - here's the latest news.
