13 citations · 27 across the 16 of their papers we have counts for
6 papers · 1 filter
Long-Horizon AI Research for Grothendieck Constant: A Case Study in Human-AI Mathematical Collaboration
Alan Li, Rahul Saha, Anton Xue +4
AI agents are increasingly used in mathematics research, but it is often unclear how to use them effectively. Towards this, we present an extensive case study of how AI was used to…
Learning Interestingness in Automated Mathematical Theory Formation
George Tsoukalas, Rahul Saha, Amitayush Thakur +2
We take two key steps in automating the open-ended discovery of new mathematical theories, a grand challenge in artificial intelligence. First, we introduce , a rein…
AlphaEvolve: A coding agent for scientific and algorithmic discovery
Alexander Novikov, Ngân Vũ, Marvin Eisenberger +15
In this white paper, we present AlphaEvolve, an evolutionary coding agent that substantially enhances capabilities of state-of-the-art LLMs on highly challenging tasks such as tack…
ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving
Amitayush Thakur, George Tsoukalas, Greg Durrett +1
Neural approaches to theorem proving require robust infrastructure for interfacing with interactive theorem provers (ITPs), extracting structured proof data, and executing proof se…
Formal Mathematical Reasoning: A New Frontier in AI
Kaiyu Yang, Gabriel Poesia, Jingxuan He +4
AI for Mathematics (AI4Math) is not only intriguing intellectually but also crucial for AI-driven discovery in science, engineering, and beyond. Extensive efforts on AI4Math have m…
PutnamBench: Evaluating Neural Theorem-Provers on the Putnam Mathematical Competition
George Tsoukalas, Jasper Lee, John Jennings +5
We present PutnamBench, a new multi-language benchmark for evaluating the ability of neural theorem-provers to solve competition mathematics problems. PutnamBench consists of 1692…