Search Results for author: Ribin Chalumattu

Found 2 papers, 2 papers with code

AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization

1 code implementation16 Jul 2024 Anum Afzal, Ribin Chalumattu, Florian Matthes, Laura Mascarell

Despite the advances in the abstractive summarization task using Large Language Models (LLM), there is a lack of research that asses their abilities to easily adapt to different domains.

Abstractive Text Summarization Domain Adaptation +1

German also Hallucinates! Inconsistency Detection in News Summaries with the Absinth Dataset

1 code implementation6 Mar 2024 Laura Mascarell, Ribin Chalumattu, Annette Rios

The advent of Large Language Models (LLMs) has led to remarkable progress on a wide range of natural language processing tasks.

Hallucination In-Context Learning +2

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