Which MATH-AI 23 works will have >50 Google Scholar citations by end of 2026?
2
100Ṁ195
2027
50%
Magnushammer: A Transformer-Based Approach to Premise Selection
50%
AlphaEvolve: A coding agent for scientific and algorithmic discovery
8%
llmstep: LLM proofstep suggestions in Lean
6%
AI for Mathematics: A Cognitive Science Perspective

The papers will eventually be availalble here , for now you can see them on OpenReview here. I will resolve by searching the paper title on Google Scholar on the close date.

Academia
Machine Learning
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