194 citations · 466 across the 25 of their papers we have counts for
6 papers · 1 filter
Language Model Classifier Aligns Better with Physician Word Sensitivity than XGBoost on Readmission Prediction
Grace Yang, Ming Cao, Lavender Y. Jiang +6
Traditional evaluation metrics for classification in natural language processing such as accuracy and area under the curve fail to differentiate between models with different predi…
Endowing Language Models with Multimodal Knowledge Graph Representations
Ningyuan Huang, Yash R. Deshpande, Yibo Liu +4
We propose a method to make natural language understanding models more parameter efficient by storing knowledge in an external knowledge graph (KG) and retrieving from this KG usin…
Translation between Molecules and Natural Language
Carl Edwards, Tuan Lai, Kevin Ros +3
We present a self-supervised learning framework for pretraining models on a vast amount of unlabeled natural language text and molecule strings. $\textbf{MolT5…
Comparing Test Sets with Item Response Theory
Clara Vania, Phu Mon Htut, William Huang +6
Recent years have seen numerous NLP datasets introduced to evaluate the performance of fine-tuned models on natural language understanding tasks. Recent results from large pretrain…
True Few-Shot Learning with Language Models
Ethan Perez, Douwe Kiela, Kyunghyun Cho
Pretrained language models (LMs) perform well on many tasks even when learning from a few examples, but prior work uses many held-out examples to tune various aspects of learning,…
KLUE: Korean Language Understanding Evaluation
Sungjoon Park, Jihyung Moon, Sungdong Kim +28
We introduce Korean Language Understanding Evaluation (KLUE) benchmark. KLUE is a collection of 8 Korean natural language understanding (NLU) tasks, including Topic Classification,…