LAMBADA Dataset Papers With Code

The LAMBADA (LAnguage Modeling Broadened to Account for Discourse Aspects) benchmark is an open-ended cloze task which consists of about 10,000 passages from BooksCorpus where a missing target word is predicted in the last sentence of each passage. The missing word is constrained to always be the last word of the last sentence and there are no candidate words to choose from. Examples were filtered by humans to ensure they were possible to guess given the context, i.e., the sentences in the passage leading up to the last sentence. Examples were further filtered to ensure that missing words could not be guessed without the context, ensuring that models attempting the dataset would need to reason over the entire paragraph to answer questions.

Using DeepSpeed and Megatron to Train Megatron-Turing NLG 530B

Machine Learning Datasets

ClueWeb22 Dataset

LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive

Two minutes NLP — Keeping track of information and the LAMBADA

Paper page - Stay on topic with Classifier-Free Guidance

Foundation Models for Text Generation

LAMBADA Benchmark (Language Modelling)

2022-7-17 arxiv roundup: Next-ViT, Anthropic & DeepMind & Google

A Survey of Large Language Models