2 citations · 2 across the 3 of their papers we have counts for
3 papers · 1 filter
Dancing in Chains: Reconciling Instruction Following and Faithfulness in Language Models
Zhengxuan Wu, Yuhao Zhang, Peng Qi +6
Modern language models (LMs) need to follow human instructions while being faithful; yet, they often fail to achieve both. Here, we provide concrete evidence of a trade-off between…
longhorns at DADC 2022: How many linguists does it take to fool a Question Answering model? A systematic approach to adversarial attacks
Venelin Kovatchev, Trina Chatterjee, Venkata S Govindarajan +9
Developing methods to adversarially challenge NLP systems is a promising avenue for improving both model performance and interpretability. Here, we describe the approach of the tea…
Learning Word Embeddings from Intrinsic and Extrinsic Views
Jifan Chen, Kan Chen, Xipeng Qiu +3
While word embeddings are currently predominant for natural language processing, most of existing models learn them solely from their contexts. However, these context-based word em…