7 citations · 9 across the 5 of their papers we have counts for
5 papers
Global PIQA: Evaluating Commonsense Reasoning Across 100+ Languages and Cultures
Tyler A. Chang, Catherine Arnett, Abdelrahman Sadallah +377
To date, there exist almost no culturally-specific evaluation benchmarks for large language models (LLMs) that cover a large number of languages and cultures. In this paper, we pre…
ALARB: An Arabic Legal Argument Reasoning Benchmark
Harethah Abu Shairah, Somayah AlHarbi, Abdulaziz AlHussein +5
We introduce ALARB, a dataset and suite of tasks designed to evaluate the reasoning capabilities of large language models (LLMs) within the Arabic legal domain. While existing Arab…
Turning the Spell Around: Lightweight Alignment Amplification via Rank-One Safety Injection
Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, George Turkiyyah +1
Safety alignment in Large Language Models (LLMs) often involves mediating internal representations to refuse harmful requests. Recent research has demonstrated that these safety me…
An Embarrassingly Simple Defense Against LLM Abliteration Attacks
Harethah Abu Shairah, Hasan Abed Al Kader Hammoud, Bernard Ghanem +1
Large language models (LLMs) are typically aligned to refuse harmful instructions through safety fine-tuning. A recent attack, termed abliteration, identifies and suppresses the si…
ArabLegalEval: A Multitask Benchmark for Assessing Arabic Legal Knowledge in Large Language Models
Faris Hijazi, Somayah AlHarbi, Abdulaziz AlHussein +5
The rapid advancements in Large Language Models (LLMs) have led to significant improvements in various natural language processing tasks. However, the evaluation of LLMs' legal kno…