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Found 2 papers, 1 papers with code
Linear Transformers with Learnable Kernel Functions are Better In-Context Models
Advancing the frontier of subquadratic architectures for Language Models (LMs) is crucial in the rapidly evolving field of natural language processing.
Diffusion Language Models Generation Can Be Halted Early
We evaluate our methods on Plaid, SSD, and CDCD DLMs and create a cohesive perspective on their generation workflows.
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