arXiv-2022 T2I-Adapter：Learning Adapters to Dig out More Controllable Ability for Text-to-Image Diffusion Models
arXiv-2022 Holistic Evaluation of Language Models
ICML-2021 Learning inverse folding from millions of predicted structures
ICLR-2021 Learning from Protein Structure with Geometric Vector Perceptrons
bioRxiv-2022 Masked inverse folding with sequence transfer for protein representation learning
bioRxiv-2021 Toward More General Embeddings for Protein Design：Harnessing Joint Representations of Sequence and Structure
NIPS-2022 Image as a Foreign Language：BEiT Pretraining for All Vision and Vision-Language Tasks
NIPS-2022 CoCa：Contrastive Captioners are Image-Text Foundation Models
ICML-2022 BLIP：Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
bioRxiv-2023 When Geometric Deep Learning Meets Pretrained Protein Language Models
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