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20242026
most citedMindstorms in Natural Language-Based Societies of Mind

5 citations · 5 across the 5 of their papers we have counts for

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cs.CL2026

TAPS: Task Aware Proposal Distributions for Speculative Sampling

Mohamad Zbib, Mohamad Bazzi, Ammar Mohanna +2

Speculative decoding accelerates autoregressive generation by letting a lightweight draft model propose future tokens that a larger target model then verifies in parallel. In pract…

cs.CL2025

Unforgotten Safety: Preserving Safety Alignment of Large Language Models with Continual Learning

Lama Alssum, Hani Itani, Hasan Abed Al Kader Hammoud +3

The safety alignment of large language models (LLMs) is becoming increasingly important with their democratization. In this paper, we study the safety degradation that comes with a…

cs.CL2025

AraLingBench A Human-Annotated Benchmark for Evaluating Arabic Linguistic Capabilities of Large Language Models

Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Sina Mukalled +5

We present AraLingBench: a fully human annotated benchmark for evaluating the Arabic linguistic competence of large language models (LLMs). The benchmark spans five core categories…

cs.CL2025

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…

cs.CL2025

Hala Technical Report: Building Arabic-Centric Instruction & Translation Models at Scale

Hasan Abed Al Kader Hammoud, Mohammad Zbeeb, Bernard Ghanem

We present Hala, a family of Arabic-centric instruction and translation models built with our translate-and-tune pipeline. We first compress a strong AREN teacher…

cs.CL2025

Reasoning Vectors: Transferring Chain-of-Thought Capabilities via Task Arithmetic

Mohammad Zbeeb, Hasan Abed Al Kader Hammoud, Bernard Ghanem

Large language models often require costly optimization, such as reinforcement learning, to master complex reasoning tasks. This work demonstrates that reasoning ability, once lear…