We introduce ZeroSCROLLS, a zero-shot benchmark for natural language
und...
Large language models are trained in two stages: (1) unsupervised pretra...
As the performance of large language models rapidly improves, benchmarks...
NLP benchmarks have largely focused on short texts, such as sentences an...
Fine-tuned language models use greedy decoding to answer reading
compreh...
Current NLP datasets targeting ambiguity can be solved by a native speak...
Supervised machine learning provides the learner with a set of input-out...
With models reaching human performance on many popular reading comprehen...