Zhengming Ding

TCR-SRIM reveals that relying on predicted structures can obscure critical interaction patterns, challenging the efficacy of popular structure prediction models in TCR-epitope learning.

Boost a VLM's rare-object reasoning without any finetuning by injecting learned embeddings from vision foundation models and synonym-augmented text.