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Faeyza Rishad Ardi

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#artificial intelligence Preprint Sep 2026

Large-scale factor analysis shows machine intelligence is only partially interpretable

The findings go against current endeavors of defining, identifying, and targeting general intelligence as a tangible construct in language model development, since the strategy of targeting a single conceptual ability without support is left without support.

Faiz Ghifari Haznitrama, Afrizal Hasbi Azizy, Faeyza Rishad Ardi · 0 citations

A Neuropsychologically Grounded Evaluation of LLM Cognitive Abilities

Large language models (LLMs) display a unified"general factor"of capability across 10 benchmarks (a finding confirmed by our factor analysis of 156 models), yet they still struggle with simple, trivial tasks for humans. This is because current benchmarks focus on task completion, failing to probe the foundational cogni...

Faiz Ghifari Haznitrama, Faeyza Rishad Ardi, Alice Oh · 6 citations

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