Large language models fail to refute the Jacobian Conjecture because they optimize for producing outputs that look like proofs rather than being logically valid, according to an analysis of AI interpr…
Researchers combined SageMath with large language models in a ReAct-style setup, achieving a 9.7 percentage point average improvement on the RealMath benchmark. GPT-5.5 reached a 75.2% solve rate with…
Researchers proposed a ReAct-style agentic setup combining LLM reasoning with SageMath for solving research-level mathematical problems, achieving an average performance gain of 9.7 percentage points …
The article describes five algorithms for computing factorials, including a recursive "product tree" method and the "PrimeSwing" algorithm, which relies on the prime factorization of swinging factoria…