Article

Large Language Models Robustness Against Perturbation

2025-10-09

Abstract excerpt

<title>Abstract</title> <p>Large Language Models (LLMs) have demonstrated impressive performance across various natural language processing (NLP) tasks, including text summarization, classification, and generation. Despite their success, LLMs are primarily trained on curated datasets that lack human-induced errors, such as typos or variations in word choice. As a result, LLMs may produce unexpected outputs when p...

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Literature Corpus work: c414ded9-0ab9-5b44-bf95-f68e9746d7a7
DOI: 10.21203/rs.3.rs-7610884/v1

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