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#machine learning Preprint Oct 2026

Representation-Aligned Auxiliary Supervision for Language Model Adaptation

Language models exhibit strong reasoning capabilities, yet adapting them to structured domains remains challenging and can yield inconsistent outcomes. We identify representation compatibility, the extent to which a model effectively processes a representation for a structured task, as a key factor in adaptation. We st...

Kyuyoung Kim, Pei-Yao Sheng, A. Hebbar et al. · 0 citations
#artificial intelligence Preprint Aug 2026

TuringLLM: Efficiently Scaling Foundation Models Toward Physical AI

Despite its compact active-parameter budget, Turing-20B-A2B achieves, at the base-model stage, overall general capability exceeding Qwen3-8B Base and approaching Qwen3.5-9B Base, while maintaining strong long-context performance and favorable prefill-latency scaling.

Yu-Heng Zhang, Yi-Zhao Wang, Daijun Zhu et al. · 0 citations

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