Summary of Mastering Text, Code and Math Simultaneously Via Fusing Highly Specialized Language Models, by Ning Ding et al.
Mastering Text, Code and Math Simultaneously via Fusing Highly Specialized Language Models
by Ning Ding, Yulin Chen, Ganqu Cui, Xingtai Lv, Weilin Zhao, Ruobing Xie, Bowen Zhou, Zhiyuan Liu, Maosong Sun
First submitted to arxiv on: 13 Mar 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 paper addresses the challenge of training large language models (LLMs) to perform well across natural language, programming code, and mathematical symbols. Current approaches require extensive training in a specific domain, sacrificing performance in others. This study proposes UltraFuser, a framework that fuses three highly-specialized models trained on these domains using token-level gating. A two-stage training strategy with balanced sampling is designed to ensure stability. The paper also introduces the UltraChat 2 dataset, comprising approximately 300,000 instructions covering various topics in each domain. Experimental results show that the proposed model achieves mastery of all three crucial domains simultaneously. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research helps computers understand language, code, and math better. Right now, these “large language models” can be very good at one thing but not others. The authors created a new way to combine these special skills into one powerful model. They designed a system called UltraFuser that blends the strengths of three separate models trained on different types of data. To make this work, they also built a huge dataset with lots of instructions in language, code, and math. By combining these efforts, they were able to create a single model that excels at all three areas. |
Keywords
» Artificial intelligence » Token
