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Found 5 papers, 3 papers with code
PURR: Efficiently Editing Language Model Hallucinations by Denoising Language Model Corruptions
These bottlenecks motivate the training of compact editors, which is challenging due to the scarcity of training data for this purpose.
RARR: Researching and Revising What Language Models Say, Using Language Models
Language models (LMs) now excel at many tasks such as few-shot learning, question answering, reasoning, and dialog.
LaMDA: Language Models for Dialog Applications
We demonstrate that fine-tuning with annotated data and enabling the model to consult external knowledge sources can lead to significant improvements towards the two key challenges of safety and factual grounding.
Ranked #114 on
Code Generation
on HumanEval
Generating Titles for Web Tables
This is accomplished by extracting many text snippets that have potentially relevant information to the table, encoding them into an input sequence, and using both copy and generation mechanisms in the decoder to balance relevance and readability of the generated title.
Learning to Skim Text
Recurrent Neural Networks are showing much promise in many sub-areas of natural language processing, ranging from document classification to machine translation to automatic question answering.
