LAMBADA Dataset Papers With Code
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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.
PDF] STaR: Bootstrapping Reasoning With Reasoning
Introducing S3 Object Lambda – Use Your Code to Process
Applied Sciences, Free Full-Text
Applied Sciences, Free Full-Text
BIG-bench Dataset
VIVA Hand Gestures Dataset Benchmark (Hand-Gesture Recognition
sun397 TensorFlow Datasets
OpenAI GPT-3: Everything You Need to Know [Updated]
Two minutes NLP — Keeping track of information and the LAMBADA
Jacquard dataset Benchmark (Robotic Grasping)
GPT-3: Just Another Language Model But Bigger
