Papers with Meta-Task Prompting

1 papers
Meta-Task Prompting Elicits Embeddings from Large Language Models (2024.acl-long)

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Challenge: Existing methods for large language modeling are based on task-related instructions or prompts.
Approach: They propose a method for generating high-quality sentence embeddings from Large Language Models (LLMs) using meta-task prompts.
Outcome: The proposed method produces high-quality sentences without fine-tuning . it excels on STS benchmarks and in downstream tasks, surpassing models with similar prompts .

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