7 citations · 7 across the 5 of their papers we have counts for
5 papers
Advancing Jailbreak Strategies: A Hybrid Approach to Exploiting LLM Vulnerabilities and Bypassing Modern Defenses
Mohamed Ahmed, Mohamed Abdelmouty, Mingyu Kim +3
The advancement of Pre-Trained Language Models (PTLMs) and Large Language Models (LLMs) has led to their widespread adoption across diverse applications. Despite their success, the…
SummAct: Uncovering User Intentions Through Interactive Behaviour Summarisation
Guanhua Zhang, Mohamed Ahmed, Zhiming Hu +1
Recent work has highlighted the potential of modelling interactive behaviour analogously to natural language. We propose interactive behaviour summarisation as a novel computationa…
Exploring Retrieval Augmented Generation in Arabic
Samhaa R. El-Beltagy, Mohamed A. Abdallah
Recently, Retrieval Augmented Generation (RAG) has emerged as a powerful technique in natural language processing, combining the strengths of retrieval-based and generation-based m…
METAL: Towards Multilingual Meta-Evaluation
Rishav Hada, Varun Gumma, Mohamed Ahmed +2
With the rising human-like precision of Large Language Models (LLMs) in numerous tasks, their utilization in a variety of real-world applications is becoming more prevalent. Severa…
Are Large Language Model-based Evaluators the Solution to Scaling Up Multilingual Evaluation?
Rishav Hada, Varun Gumma, Adrian de Wynter +5
Large Language Models (LLMs) excel in various Natural Language Processing (NLP) tasks, yet their evaluation, particularly in languages beyond the top , remains inadequate due t…