82 citations · 212 across the 7 of their papers we have counts for
7 papers
Redteaming Leading Arabic LLMs with ASAS
Fidaa Abed, Haidar Khan, M Saiful Bari +2
As the adoption of large language models (LLMs) grows in Arabic-speaking regions, ensuring their safety and cultural alignment is increasingly critical. However, Arabic LLM safety…
ALLaM: Large Language Models for Arabic and English
M Saiful Bari, Yazeed Alnumay, Norah A. Alzahrani +22
We present ALLaM: Arabic Large Language Model, a series of large language models to support the ecosystem of Arabic Language Technologies (ALT). ALLaM is carefully trained consider…
Look before you Hop: Conversational Question Answering over Knowledge Graphs Using Judicious Context Expansion
Philipp Christmann, Rishiraj Saha Roy, Abdalghani Abujabal +2
Fact-centric information needs are rarely one-shot; users typically ask follow-up questions to explore a topic. In such a conversational setting, the user's inputs are often incomp…
TEQUILA: Temporal Question Answering over Knowledge Bases
Zhen Jia, Abdalghani Abujabal, Rishiraj Saha Roy +2
Question answering over knowledge bases (KB-QA) poses challenges in handling complex questions that need to be decomposed into sub-questions. An important case, addressed here, is…
Answering Complex Questions by Joining Multi-Document Evidence with Quasi Knowledge Graphs
Xiaolu Lu, Soumajit Pramanik, Rishiraj Saha Roy +3
Direct answering of questions that involve multiple entities and relations is a challenge for text-based QA. This problem is most pronounced when answers can be found only by joini…
ComQA: A Community-sourced Dataset for Complex Factoid Question Answering with Paraphrase Clusters
Abdalghani Abujabal, Rishiraj Saha Roy, Mohamed Yahya +1
To bridge the gap between the capabilities of the state-of-the-art in factoid question answering (QA) and what users ask, we need large datasets of real user questions that capture…