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#compositionality News & Analysis

2 articles tagged with #compositionality. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles
AINeutralarXiv – CS AI · Mar 127/10
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Evaluating Adjective-Noun Compositionality in LLMs: Functional vs Representational Perspectives

A research study reveals that large language models develop strong internal compositional representations for adjective-noun combinations, but struggle to consistently translate these representations into successful task performance. The findings highlight a significant gap between what LLMs understand internally and their functional capabilities.

AINeutralarXiv – CS AI · Feb 277/107
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Compositional-ARC: Assessing Systematic Generalization in Abstract Spatial Reasoning

Researchers developed Compositional-ARC, a dataset to test AI models' ability to systematically generalize abstract spatial reasoning tasks. A small 5.7M parameter transformer model trained with meta-learning outperformed large language models like GPT-4o and Gemini 2.0 Flash on novel geometric transformation combinations.