2025
In-Context Compositional Learning vis Sparse Coding Transformer
NeurIPS 2025poster
Recent advances in AI, driven by Transformer architectures, have achieved remarkable success in language, vision, and multimodal reasoning, and there is growing demand for them to address in-context compositional learning tasks. In these tasks, models solve the target problems by inferring compositi…