Researchers from Grammarly and the University of Minnesota Introduce CoEdIT: An AI-Based Text Editing System Designed to Provide Writing Assistance with a Natural Language Interface

Large language models (LLMs) have made impressive advancements in generating coherent text for various activities and domains, including grammatical error correction (GEC), text simplification, paraphrasing, and style transfer. One of the emerging skills of LLMs is their ability to generalize and perform tasks that they have never seen before. To achieve this, LLMs are fine-tuned on instructions in an instruction-tuning process. This reduces the need for few-shot exemplars as the models become more proficient at understanding and following instructions. One of the biggest difficulties for writers is editing their work to meet the requirements and limitations of their assignment. This can be challenging, even for experienced authors. To help overcome this, text editing benchmark tasks can be used to fine-tune the text editing capabilities of models. While previous studies have attempted to develop general-purpose text editing models using LLMs, their effectiveness, performance, and usability are often limited by factors such as unavailability or lack of task-specific datasets. Therefore, instruction tuning is essential to improve the overall quality of the text editing process. Take the project management out of product management Researchers from Grammarly ( Vipul Raheja and Dhruv Kumar ) and the University of Minnesota (Ryan Koo and Dongyeop Kang ) introduce CoEdIT, an AI-based text editing system designed to provide writing assistance with a natural language interface. CoEdIT may be used as a writing assistant that can add, delete or change words, phrases, and sentences. CoEdIT meets syntactic, semantic, and stylistic edit criteria with state-of-the-art performance on several text editing benchmarks. The research group has demonstrated that CoEdIT can further generalize to make modifications along several dimensions in a single turn, even for unseen, adjacent, and composite instructions. They find that by adhering to natural language guidelines, CoEdIT can help authors with many facets of the text rewriting process. The main contributions of the paper are as follows: [Recommended Read] ‘Researchers from Grammarly and the University of Minnesota Introduce CoEdIT: An AI-Based Text Editing System Designed to Provide Writing Assistance with a Natural Language Interface’ The research team attained state-of-the-art performance on three stylistic editing tasks (paraphrasing, neutralization, […]

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