5 papers
TriSP: Tri-Signal Structured Pruning for Large Language Models
Manel Kara laoua, Soumia Bouyahiaoui, Aicha Boutorh
Large language models (LLMs) achieve strong performance across diverse tasks but their deployment is constrained by the memory and compute cost of their parameters. Structured prun…
SelKV: Selective KV Cache Merging with Per-Token Merge-or-Drop and Attention Compensation
Soumia Bouyahiaoui, Manel Kara laouar, Aicha Boutorh +1
Large Language Models (LLMs) generate text autoregressively, relying on a key-value (KV) cache whose memory footprint grows linearly with context length, creating a major bottlenec…
VAMP-Net: An Interpretable Multi-Path Network of Genomic Permutation-Invariant Set Attention and Quality-Aware 1D-CNN for MTB Drug Resistance
Aicha Boutorh, Kamar Hibatallah Baghdadi, Anais Daoud
Genomic prediction of drug resistance in Mycobacterium tuberculosis is often hindered by complex epistatic interactions and variable sequencing quality. We present the Interpretabl…
AgrI Challenge: A Data-Centric AI Competition for Cross-Team Validation in Agricultural Vision
Mohammed Brahimi, Karim Laabassi, Mohamed Seghir Hadj Ameur +7
Machine learning models in agricultural vision often achieve high accuracy on curated datasets but fail to generalize under real field conditions due to distribution shifts between…
DuaDeep-SeqAffinity: Dual-Stream Deep Learning Framework for Sequence-Only Antigen-Antibody Affinity Prediction
Aicha Boutorh, Soumia Bouyahiaoui, Sara Belhadj +2
Predicting the binding affinity between antigens and antibodies is fundamental to drug discovery and vaccine development. Traditional computational approaches often rely on experim…