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Found 9 papers, 2 papers with code
The Case for a Single Model that can Both Generate Continuations and Fill-in-the-Blank
While previous work has tackled this problem with models trained specifically to do fill in the blank, a more useful model is one that can effectively perform _both_ FitB and continuation tasks.
Creative Writing with an AI-Powered Writing Assistant: Perspectives from Professional Writers
Recent developments in natural language generation (NLG) using neural language models have brought us closer than ever to the goal of building AI-powered creative writing tools.
The Case for a Single Model that can Both Generate Continuations and Fill in the Blank
The task of inserting text into a specified position in a passage, known as fill in the blank (FitB), is useful for a variety of applications where writers interact with a natural language generation (NLG) system to craft text.
SynthBio: A Case Study in Human-AI Collaborative Curation of Text Datasets
We use our method to curate SynthBio - a new evaluation set for WikiBio - composed of structured attribute lists describing fictional individuals, mapped to natural language biographies.
A Recipe For Arbitrary Text Style Transfer with Large Language Models
In this paper, we leverage large language models (LMs) to perform zero-shot text style transfer.
Wordcraft: a Human-AI Collaborative Editor for Story Writing
As neural language models grow in effectiveness, they are increasingly being applied in real-world settings.
An Interpretability Illusion for BERT
We describe an "interpretability illusion" that arises when analyzing the BERT model.
The Language Interpretability Tool: Extensible, Interactive Visualizations and Analysis for NLP Models
We present the Language Interpretability Tool (LIT), an open-source platform for visualization and understanding of NLP models.
Visualizing and Measuring the Geometry of BERT
Transformer architectures show significant promise for natural language processing.
