Zero-Shot Learning of Code Representations via Prompt Tuning

Zecoler, a zero-shot approach for learning code representations, casts downstream tasks to the same form as pre-training objectives by inserting trainable prompts into the original input, enabling efficient transfer of pre-trained knowledge to target domains without labeled data.