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Sawsan Alqahtani

4 accepted papers

2024

A Systematic Survey and Critical Review on Evaluating Large Language Models: Challenges, Limitations, and Recommendations

EMNLP 2024main

Large Language Models (LLMs) have recently gained significant attention due to their remarkable capabilities in performing diverse tasks across various domains. However, a thorough evaluation of these models is crucial before deploying them in real-world applications to ensure they produce reliable…

2022

Injecting Domain Knowledge in Language Models for Task-oriented Dialogue Systems

EMNLP 2022main

Pre-trained language models (PLM) have advanced the state-of-the-art across NLP applications, but lack domain-specific knowledge that does not naturally occur in pre-training data. Previous studies augmented PLMs with symbolic knowledge for different downstream NLP tasks. However, knowledge bases (K…

2021

Using Optimal Transport as Alignment Objective for fine-tuning Multilingual Contextualized Embeddings

EMNLP 2021finding

Recent studies have proposed different methods to improve multilingual word representations in contextualized settings including techniques that align between source and target embedding spaces. For contextualized embeddings, alignment becomes more complex as we additionally take context into consid…

Cited by 21SourcePDFScholar