Large language models (LLMs) have shown advancements in text generation for various domains. CoEdIT, an AI-based text editing system, excels in multiple tasks and provides guidance for writers. It surpasses other models in performance and effectively improves text rewriting processes. CoEdIT demonstrates potential for high-quality changes, generalization to new tasks, and supporting human authors.
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Introduction
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.
CoEdIT: AI-Based Text Editing System
Researchers from Grammarly and the University of Minnesota have introduced CoEdIT, an AI-based text editing system designed to provide writing assistance with a natural language interface. CoEdIT can add, delete, or change words, phrases, and sentences to meet syntactic, semantic, and stylistic edit criteria with state-of-the-art performance on several text editing benchmarks. CoEdIT can help authors with many facets of the text rewriting process.
Key Contributions
- The research team attained state-of-the-art performance on various stylistic editing tasks and discovered that even their smallest instruction-tuned model performs better than other supervised text editing and general-purpose LLMs.
- Their data and models are publicly available.
- CoEdIT generalizes effectively to new, neighboring jobs not noticed during fine-tuning, and composite instructions with multiple task descriptions.
Research Inquiries
- RQ1: Can CoEdIT follow text editing guidelines and provide high-quality changes for various tasks?
- RQ2: Can CoEdIT generalize to carry out edits for novel text editing instructions?
- RQ3: Does CoEdIT help human authors write more effectively and efficiently?
Comparison and Results
CoEdIT’s performance was compared with various models in different text editing tasks. It was found that CoEdIT performs significantly better than other models and competes well with larger models, suggesting that densifying the task/instruction space is more effective than scaling model size.
Practical AI Solutions
To evolve your company with AI, stay competitive, and identify automation opportunities, consider leveraging AI-based text editing systems like CoEdIT. Additionally, explore AI solutions for sales processes and customer engagement to streamline interactions across all customer journey stages.
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