Summary of Improving Zero-shot Cross-lingual Transfer Via Progressive Code-switching, by Zhuoran Li et al.
Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
by Zhuoran Li, Chunming Hu, Junfan Chen, Zhijun Chen, Xiaohui Guo, Richong Zhang
First submitted to arxiv on: 19 Jun 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: 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 This paper proposes Progressive Code-Switching (PCS), a method that generates moderately difficult code-switching examples to improve the generalization performance of cross-lingual transfer tasks. The PCS approach incorporates progressively learned multilingual knowledge using easier code-switching data to guide model optimization on succeeding harder code-switching data. The method involves designing a difficulty measurer, generating code-switching data with increasing difficulty via a controllable temperature variable, and deciding when to sample harder code-switching data for model training. The proposed approach achieves state-of-the-art results on three zero-shot cross-lingual transfer tasks across ten languages. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Code-switching is a way to mix words from different languages into one text. This can help models understand language better, but only if it’s done correctly. Otherwise, the models might get confused and perform poorly. To solve this problem, the authors propose a new method called Progressive Code-Switching (PCS). PCS generates code-switching examples in a way that makes them harder to learn as you go along. This helps the model understand language better by gradually introducing more difficult words. The authors tested their approach on three different tasks and found it worked best across ten languages. |
Keywords
» Artificial intelligence » Generalization » Optimization » Temperature » Zero shot
