Thesis Research Notes

This is a collection of notes and summaries from papers I reviewed as part of a systematic literature review for my undergraduate thesis in Computer Science.

The thesis explores a neuro-symbolic solution to the ARC-AGI benchmark, using lightweight language models and efficient symbolic representation techniques.

These notes aim to extract key insights and technical details relevant to intelligence, abstract reasoning, generalization, and neuro-symbolic AI.