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Bertram Ludaescher

1 accepted papers

2024

SciPrompt: Knowledge-augmented Prompting for Fine-grained Categorization of Scientific Topics

EMNLP 2024main

Prompt-based fine-tuning has become an essential method for eliciting information encoded in pre-trained language models for a variety of tasks, including text classification. For multi-class classification tasks, prompt-based fine-tuning under low-resource scenarios has resulted in performance leve…