One could try to train ones own LLM from scratch, using an encoder-decoder (translation - aka seq2seq) architecture trying to predict the correct variable name given the decompiled output.
One could try to use something like GPT-4 with a carefully designed prompt "Given this datastructure, what might be the name for this field?"
One could try to use something pretrained like llama, but then finetune it based on hundreds of thousands of compiled and decompiled programs.
