1.5k citations · 1.7k across the 19 of their papers we have counts for
3 papers · 2 filters
Knowledge Prompts: Injecting World Knowledge into Language Models through Soft Prompts
Cicero Nogueira dos Santos, Zhe Dong, Daniel Cer +4
Soft prompts have been recently proposed as a tool for adapting large frozen language models (LMs) to new tasks. In this work, we repurpose soft prompts to the task of injecting wo…
Counterfactual Data Augmentation improves Factuality of Abstractive Summarization
Dheeraj Rajagopal, Siamak Shakeri, Cicero Nogueira dos Santos +2
Abstractive summarization systems based on pretrained language models often generate coherent but factually inconsistent sentences. In this paper, we present a counterfactual data…
ED2LM: Encoder-Decoder to Language Model for Faster Document Re-ranking Inference
Kai Hui, Honglei Zhuang, Tao Chen +8
State-of-the-art neural models typically encode document-query pairs using cross-attention for re-ranking. To this end, models generally utilize an encoder-only (like BERT) paradig…