102 citations · 136 across the 10 of their papers we have counts for
10 papers
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…
-CLIP: Text-Conditioned Contrastive Learning for Multi-Granular Vision-Language Alignment
Fatimah Zohra, Chen Zhao, Hani Itani +1
CLIP achieves strong zero-shot image-text retrieval by aligning global vision and text representations, yet it falls behind on fine-grained tasks even when fine-tuned on long, deta…
Transformers from Compressed Representations
Juan C. Leon Alcazar, Mattia Soldan, Mohammad Saatialsoruji +4
Compressed file formats are the corner stone of efficient data storage and transmission, yet their potential for representation learning remains largely underexplored. We introduce…
Beyond the Last Answer: Your Reasoning Trace Uncovers More than You Think
Hasan Abed Al Kader Hammoud, Hani Itani, Bernard Ghanem
Large Language Models (LLMs) leverage step-by-step reasoning to solve complex problems. Standard evaluation practice involves generating a complete reasoning trace and assessing th…
Compressed-Language Models for Understanding Compressed File Formats: a JPEG Exploration
Juan C. Pérez, Alejandro Pardo, Mattia Soldan +3
This study investigates whether Compressed-Language Models (CLMs), i.e. language models operating on raw byte streams from Compressed File Formats~(CFFs), can understand files comp…
X-VARS: Introducing Explainability in Football Refereeing with Multi-Modal Large Language Model
Jan Held, Hani Itani, Anthony Cioppa +3
The rapid advancement of artificial intelligence has led to significant improvements in automated decision-making. However, the increased performance of models often comes at the c…