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Summary of X-instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions, by Chong Li et al.


X-Instruction: Aligning Language Model in Low-resource Languages with Self-curated Cross-lingual Instructions

by Chong Li, Wen Yang, Jiajun Zhang, Jinliang Lu, Shaonan Wang, Chengqing Zong

First submitted to arxiv on: 30 May 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 proposed novel method constructs cross-lingual instruction following samples by having the language model generate English instructions based on natural web texts in other languages as responses. This approach is designed to address the issue of large language models struggling in low-resource languages due to a lack of high-quality instruction following data. The method involves refining and diversifying candidate cross-lingual instruction tuning samples, resulting in the creation of a large-scale dataset called X-Instruction. Experimental results show that the response quality of the model tuned on X-Instruction exceeds that of a powerful teacher model, reaching or surpassing ChatGPT performance. Additionally, models tuned on cross-lingual instruction following samples can follow instructions in the output language without further tuning.
Low GrooveSquid.com (original content) Low Difficulty Summary
Large language models have trouble understanding and responding to instructions in languages they’re not familiar with. One way to solve this problem is by giving them examples of how to respond correctly. This paper proposes a new way to create these examples, called X-Instruction, which helps large language models understand and respond better to instructions in other languages.

Keywords

» Artificial intelligence  » Instruction tuning  » Language model  » Teacher model