Summary of Self-augmented In-context Learning For Unsupervised Word Translation, by Yaoyiran Li et al.
Self-Augmented In-Context Learning for Unsupervised Word Translation
by Yaoyiran Li, Anna Korhonen, Ivan Vulić
First submitted to arxiv on: 15 Feb 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Information Retrieval (cs.IR); Machine Learning (cs.LG)
GrooveSquid.com Paper Summaries
GrooveSquid.com’s goal is to make artificial intelligence research accessible by summarizing AI papers in simpler terms. Each summary below covers the same AI paper, written at different levels of difficulty. The medium difficulty and low difficulty versions are original summaries written by GrooveSquid.com, while the high difficulty version is the paper’s original abstract. Feel free to learn from the version that suits you best!
| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary In this research paper, the authors propose a novel approach called self-augmented in-context learning (SAIL) to improve large language models’ (LLMs’) bilingual lexicon induction (BLI) capabilities. The current state-of-the-art LLMs struggle with unsupervised BLI, especially for lower-resource languages. SAIL iteratively induces high-confidence word translation pairs from an LLM and reapplies them in the same LLM to improve its performance. This method outperforms zero-shot prompting of LLMs on two established BLI benchmarks and achieves state-of-the-art unsupervised BLI performance. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This research paper is about a new way to help computers understand different languages without being taught beforehand. The current best computers can’t do this very well, especially for languages that don’t have much information available. To fix this, the authors came up with an idea called SAIL, which helps computers learn from themselves and get better at understanding languages. |
Keywords
* Artificial intelligence * Prompting * Translation * Unsupervised * Zero shot
