Vipul Kumar Rathore — accepted AI-conference papers

2024

SSP: Self-Supervised Prompting for Cross-Lingual Transfer to Low-Resource Languages using Large Language Models

Vipul Kumar Rathore, Aniruddha Deb, Ankish Kumar Chandresh, Parag Singla, Mausam .

EMNLP 2024finding

Recently, very large language models (LLMs) have shown exceptional performance on several English NLP tasks with just in-context learning (ICL), but their utility in other languages is still underexplored. We investigate their effectiveness for NLP tasks in low-resource languages (LRLs), especially…

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2023

ZGUL: Zero-shot Generalization to Unseen Languages using Multi-source Ensembling of Language Adapters

Vipul Kumar Rathore, Rajdeep Dhingra, Parag Singla, Mausam .

EMNLP 2023long main

We tackle the problem of zero-shot cross-lingual transfer in NLP tasks via the use of language adapters (LAs). Most of the earlier works have explored training with adapter of a single source (often English), and testing either using the target LA or LA of another related language. Training target…

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