However, existing frameworks face several interrelated limitations.

Recently, Language Models (LMs) have demonstrated complex reasoning capacities even without any finetuning.

However, in practice, new reconstruction methods could improve performance for at least three other reasons: learning more about the distribution of stimuli, becoming better at reconstructing text or images in general, or exploiting weaknesses in current image and/or text evaluation metrics. Here we disentangle how much of the reconstruction is due to these other factors vs. productively using the neural recordings.

Neural Information Processing Systems http://nips.cc/