Author

Jia-Jun Wu

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#machine learning Preprint Sep 2026

Shared Weights, Selected Computations: How Looped Transformers Route What Each Loop Does

Looped Transformers repeatedly apply the same set of Transformer layers, giving them a recurrent architecture for latent computation. Their strong performance on iterative reasoning and length-generalization tasks suggests an appealing explanation: recurrence may provide an inductive bias that lets the model reuse a le...

Jia-Jun Wu, Yi Hu, Mu-Han Zhang · 0 citations

#artificial intelligence Preprint Sep 2026

CARAT: Do Materials LLMs Reason or Recite?

When a materials LLM answers a question about crystal structure, does it reason from the structure or copy an answer already printed in its input? Accuracy cannot tell: a structural description often prints the very field it is scored against. CARAT holds question and gold answer fixed across eight matched views, names...

Jia-Jun Wu, Jian Yang, Zi-Xiang Ni et al. · 0 citations