Co-folding with a Soup of Representations
SoupFold improves structure prediction by learning simple mappings between co-folding models' internal representations. It treats one model as a base and others as teachers, transferring their learned patterns to enhance the base model's representation at inference time. This method achieves state-of-the-art results and recovers structures when individual models fail.