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Author

Liangze Jiang

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Jul 2026

Can Transformers Really Do It All? On the Compatibility of Inductive Biases Across Tasks

The results show that standard transformers are rarely a local optimum in the space of architectures, and suggests that there may be room for improved architectures that better support multiple capabilities simultaneously, such as fluency and robust reasoning.

Damien Teney, Liangze Jiang, Hemanth Saratchandran et al. · 2 citations

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