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Research questionCan language-based models replace specialized architectures for structured data without sacrificing structural representation and computation?Task-level accuracy can look competitive even when a model does not preserve or compute the structure that makes structured-data problems tractable. This makes architectural replacement difficult to judge from predictive performance alone.
AI
Machine Learning
Research Paper
Latest papersRecent research connected to this question, newest first.The Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model EraThe evidence is a review of 159 papers from 2016–2026 spanning nine modalities and eight representational regimes, from language-only to fully specialized architectures. It reports strong language-mediated results in some settings, but no evidence of general replacement when structural representation or computation is directly assessed; whether scaling can eliminate the gap remains untested.research paper · Sep 2, 2026
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