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cs.LG2026
The Key to Going Linear: Analysis-Driven Transformer Linearization
Anna Kuzina, Paul N. Whatmough, Babak Ehteshami Bejnordi
The quadratic cost of causal self-attention severely bottlenecks long-context transformer inference. While numerous post hoc linearization pipelines exist, it is difficult to ident…
cs.LG2026
Efficient Reasoning on the Edge
Yelysei Bondarenko, Thomas Hehn, Rob Hesselink +15
Large language models (LLMs) with chain-of-thought reasoning achieve state-of-the-art performance across complex problem-solving tasks, but their verbose reasoning traces and large…