Large Language Models

Deep Bayesian Active Learning for Natural Language Processing: Results of a Large-Scale Empirical Study EMNLP 2018 Deep Learning for Conversational AI NAACL 2018 Diachronic degradation of language models: Insights from social media ACL 2018 Distributed Fine-tuning of Language Models on Private Data ICLR 2018 Incorporating Context into Language Encoding Models for fMRI NeurIPS 2018 Modelling Natural Language, Programs, and their Intersection NAACL 2018 NCRF++: An Open-source Neural Sequence Labeling Toolkit ACL 2018 Portable, layer-wise task performance monitoring for NLP models EMNLP 2018 Predicting and interpreting embeddings for out of vocabulary words in downstream tasks EMNLP 2018 The Annotated Transformer ACL 2018 The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing ACL 2018 UBC-NLP at IEST 2018: Learning Implicit Emotion With an Ensemble of Language Models EMNLP 2018 Universal Language Model Fine-tuning for Text Classification ACL 2018 Automatic Generation of Grounded Visual Questions IJCAI 2017 Scalable Inference for Logistic-Normal Topic Models NeurIPS 2013 Online Learning for Latent Dirichlet Allocation NeurIPS 2010