Depends on your definition of the model. Most people would be pretty upset with the usual LLM providers if they drastically changed the sampling strategy for the worse and claimed to not have changed the model at all.
Scientists and academics demand an entirely different level of rigor compared to customers of LLM providers.
That would seem to be counter to the "impact" goal for research.
This is why we use top_p/top_k on the big 3 closed source models despite min_p and far better LLM sampling algorithms existing since 2023 (or in TFS case, since 2019)