2025
Enabling Natural Zero-Shot Prompting on Encoder Models via Statement-Tuning
NAACL 2025findings
While Large Language Models (LLMs) exhibit remarkable capabilities in zero-shot and few-shot scenarios, they often require computationally prohibitive sizes. Conversely, smaller Masked Language Models (MLMs) like BERT and RoBERTa achieve state-of-the-art results through fine-tuning but struggle with…