Papers by Selcuk Sandikci
An Empirical Study of Speculative Decoding for Small Language Models (2026.eacl-long)
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| Challenge: | Existing studies focus on 7B-70B parameters models, leaving a knowledge gap for small language models. |
| Approach: | They propose a draft-then-verify paradigm that allows for a single forward pass through a model and transfer of all model parameters to the GPU cache. |
| Outcome: | The proposed method can be used to accelerate small language models with low computational overhead. |