most citedLearning to Filter Context for Retrieval-Augmented Generation

9 citations · 11 across the 2 of their papers we have counts for

collaborators

1 paper

cs.CL2023★ 2 cited

SwitchPrompt: Learning Domain-Specific Gated Soft Prompts for Classification in Low-Resource Domains

Koustava Goswami, Lukas Lange, Jun Araki +1

Prompting pre-trained language models leads to promising results across natural language processing tasks but is less effective when applied in low-resource domains, due to the dom…