Summary of Training and Evaluating Language Models with Template-based Data Generation, by Yifan Zhang
Training and Evaluating Language Models with Template-based Data Generation
by Yifan Zhang
First submitted to arxiv on: 27 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Machine Learning (cs.LG)
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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 rapid advancement of large language models (LLMs) such as GPT-3, PaLM, and Llama has transformed natural language processing, showcasing remarkable capabilities in understanding and generating language. However, these models struggle with tasks requiring complex reasoning, particularly in mathematical problem-solving due to the scarcity of high-quality, domain-specific datasets necessary for training sophisticated reasoning abilities. To address this limitation, we introduce Template-based Data Generation (TDG), a novel approach that leverages LLMs (GPT-4) to automatically generate parameterized meta-templates, which are then used to synthesize a vast array of high-quality problems and solutions. Our method enables the generation of virtually infinite data and elevates data augmentation by using GPT-4 for meta-template generation. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper is about creating a new way to make math problems for kids. It’s like having a super smart computer that can make millions of math problems and answers! The problem was that there weren’t enough math problems out there, so people had to make them by hand. That took a lot of time and effort. With this new method, the computer makes the problems and answers automatically! This means that teachers and students can use these problems to learn and practice math in a fun and interactive way. |
Keywords
» Artificial intelligence » Data augmentation » Gpt » Llama » Natural language processing » Palm
