Papers by Ankish Chandresh
SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models (2024.findings-emnlp)
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| Challenge: | Recent studies have shown that very large language models (LLMs) can perform NLP tasks with just in-context learning (ICL) but their utility in other languages is underexplored. |
| Approach: | They propose a novel approach to in-context learning that uses noisy test data to generate more accurate labels for LLMs. |
| Outcome: | Experiments on three tasks and eleven LLMs show that the proposed approach outperforms existing in-context learning baselines on English NLP and reasoning tasks. |