2 papers
cs.AI2026
AlgoEvolve: LLM-driven Meta-evolution of Algorithmic Trading Programs
Dhruv Sharma, Gautam Shroff
Recent work shows that Large Language Models (LLMs) can act as semantic mutation operators for the evolutionary discovery of programs and proofs. Most current applications focus on…
cs.LG2024
ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)
Kartik Singhal, Gautam Shroff
The Abstraction and Reasoning Corpus (ARC) poses a significant challenge to artificial intelligence, demanding broad generalization and few-shot learning capabilities that remain e…