Summary of Medit: Multilingual Text Editing Via Instruction Tuning, by Vipul Raheja and Dimitris Alikaniotis and Vivek Kulkarni and Bashar Alhafni and Dhruv Kumar
mEdIT: Multilingual Text Editing via Instruction Tuning
by Vipul Raheja, Dimitris Alikaniotis, Vivek Kulkarni, Bashar Alhafni, Dhruv Kumar
First submitted to arxiv on: 26 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary The mEdIT model is a multi-lingual text editing system that can assist with tasks such as grammar correction, simplification, and paraphrasing in various languages. It’s based on large pre-trained language models that are fine-tuned using instruction tuning to take user-inputted instructions in natural language. The model is trained on multiple human-annotated datasets for three text editing tasks across six different language families. mEdIT outperforms other multilingual models on various benchmarks and generalizes well to new languages, making it a strong tool for multilingual writing assistance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary mEdIT is a special kind of computer program that helps people write texts in many different languages. It can correct grammar mistakes, make complex sentences simpler, and even rewrite whole paragraphs. To do this, the program uses very large collections of text from all around the world to learn how language works. When someone asks mEdIT to help with a specific task, like fixing a sentence that’s hard to understand, it uses what it learned to make changes and improve the writing. |
Keywords
» Artificial intelligence » Instruction tuning
