activity
20242026
most citedVisual question answering: from early developments to recent advances -- a survey

2 citations · 2 across the 5 of their papers we have counts for

collaborators

11 papers

cs.CV2026

Falcon Perception

Aviraj Bevli, Sofian Chaybouti, Yasser Dahou +6

Perception-centric systems are typically implemented with a modular encoder-decoder pipeline: a vision backbone for feature extraction and a separate decoder (or late-fusion module…

cs.CL2025

RELOOP: Recursive Retrieval with Multi-Hop Reasoner and Planners for Heterogeneous QA

Ruiyi Yang, Hao Xue, Imran Razzak +2

Retrieval-augmented generation (RAG) remains brittle on multi-step questions and heterogeneous evidence sources, trading accuracy against latency and token/tool budgets. This paper…

cs.LG2025

Far From Sight, Far From Mind: Inverse Distance Weighting for Graph Federated Recommendation

Aymen Rayane Khouas, Mohamed Reda Bouadjenek, Hakim Hacid +1

Graph federated recommendation systems offer a privacy-preserving alternative to traditional centralized recommendation architectures, which often raise concerns about data securit…

cs.LG2025

Rolling Ball Optimizer: Learning by ironing out loss landscape wrinkles

Mohammed Djameleddine Belgoumri, Mohamed Reda Bouadjenek, Hakim Hacid +2

Training large neural networks (NNs) requires optimizing high-dimensional data-dependent loss functions. The optimization landscape of these functions is often highly complex and t…

cs.AI2025

Divide by Question, Conquer by Agent: SPLIT-RAG with Question-Driven Graph Partitioning

Ruiyi Yang, Hao Xue, Imran Razzak +3

Retrieval-Augmented Generation (RAG) systems empower large language models (LLMs) with external knowledge, yet struggle with efficiency-accuracy trade-offs when scaling to large kn…

cs.LG2025

Enforcing Consistency and Fairness in Multi-level Hierarchical Classification with a Mask-based Output Layer

Shijing Chen, Shoaib Jameel, Mohamed Reda Bouadjenek +6

Traditional Multi-level Hierarchical Classification (MLHC) classifiers often rely on backbone models with independent output layers. This structure tends to overlook the hierar…