A new position paper proposes that humans possess an evolved instruction-following bias, an innate inductive bias that enables rapid learning from instructions. This bias is compared to the instruction tuning used in large language models (LLMs) for zero-shot task performance. The paper synthesizes evidence from cognitive science, neuroscience, and machine learning to support this hypothesis and calls for interdisciplinary research into instruction-following as a unifying mechanism for task learning in both humans and AI. AI
IMPACT Suggests a potential unifying mechanism for task learning across humans and AI, potentially influencing future AI training methodologies.
RANK_REASON The cluster contains a research paper discussing a hypothesis about human cognitive abilities and their parallels with AI.
- alphaXiv
- arXiv
- CatalyzeX
- cognitive science
- DagsHub
- Gotit.pub
- Homo sapiens
- Hugging Face
- large language models
- machine learning
- Neuroscience
- ScienceCast
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