1 citations · 2 across the 11 of their papers we have counts for
15 papers
An Empirical Study of Recent Large Language Models for Knowledge Graph to Text Generation on Standard Benchmarks
Priyanka, Renaud Delbru, Souhail Bakkali +2
Knowledge graph-to-text (KG-to-text) generation verbalizes a set of knowledge graph triples into fluent natural language. While fine-tuned encoder-decoder models have long been the…
Fresh at Decision, Stale at Action: Routing New Information to LLM Decisions Already Made
Ayoub Merimi, Souhail Bakkali, Abdeljalil Sakat
Freshness shapes an LLM decision at the moment it is made; the action it commits to is latent, carried out later, in a changing world. We therefore introduce a timestamp theory of…
Investigating Model Compression for Neural Machine Translation in the Biomedical Domain
Maria Zafar, Souhail Bakkali, Rejwanul Haque
Large-scale pretrained transformer models have achieved state-of-the-art performance across diverse machine translation tasks, including multilingual settings. Knowledge distillati…
Amnesia by Design, Memory By Necessity: Persistent State for Document Intelligence
Souhail Bakkali, Ayoub Merimi
Modern Document AI reads contracts, extracts fields, reasons over tables, and grounds answers to page regions, then forgets everything. Processing an amendment the next day begins…
MTRACE: Multilingual Retrieval-Augmented Generation for Temporally Diverse Text Corpora
Anthony Mudet, Souhail Bakkali
Large multilingual knowledge bases expose temporally diverse information, yet retrieval quality remains sensitive to lexical variation and cross-lingual terminology shifts. We deve…
Evaluating the Impact of Khmer Font Types on Text Recognition
Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2
Text recognition is significantly influenced by font types, especially for complex scripts like Khmer. The variety of Khmer fonts, each with its unique character structure, present…
DocSum: Domain-Adaptive Pre-training for Document Abstractive Summarization
Phan Phuong Mai Chau, Souhail Bakkali, Antoine Doucet
Abstractive summarization has made significant strides in condensing and rephrasing large volumes of text into coherent summaries. However, summarizing administrative documents pre…
KhmerST: A Low-Resource Khmer Scene Text Detection and Recognition Benchmark
Vannkinh Nom, Souhail Bakkali, Muhammad Muzzamil Luqman +2
Developing effective scene text detection and recognition models hinges on extensive training data, which can be both laborious and costly to obtain, especially for low-resourced l…
Multimodal Adaptive Inference for Document Image Classification with Anytime Early Exiting
Omar Hamed, Souhail Bakkali, Marie-Francine Moens +2
This work addresses the need for a balanced approach between performance and efficiency in scalable production environments for visually-rich document understanding (VDU) tasks. Cu…
LLMChain: Blockchain-based Reputation System for Sharing and Evaluating Large Language Models
Mouhamed Amine Bouchiha, Quentin Telnoff, Souhail Bakkali +4
Large Language Models (LLMs) have witnessed rapid growth in emerging challenges and capabilities of language understanding, generation, and reasoning. Despite their remarkable perf…
IDTrust: Deep Identity Document Quality Detection with Bandpass Filtering
Musab Al-Ghadi, Joris Voerman, Souhail Bakkali +3
The increasing use of digital technologies and mobile-based registration procedures highlights the vital role of personal identity documents (IDs) in verifying users and safeguardi…
GlobalDoc: A Cross-Modal Vision-Language Framework for Real-World Document Image Retrieval and Classification
Souhail Bakkali, Sanket Biswas, Zuheng Ming +4
Visual document understanding (VDU) has rapidly advanced with the development of powerful multi-modal language models. However, these models typically require extensive document pr…
EAML: Ensemble Self-Attention-based Mutual Learning Network for Document Image Classification
Souhail Bakkali, Ziheng Ming, Mickael Coustaty +1
In the recent past, complex deep neural networks have received huge interest in various document understanding tasks such as document image classification and document retrieval. A…
VLCDoC: Vision-Language Contrastive Pre-Training Model for Cross-Modal Document Classification
Souhail Bakkali, Zuheng Ming, Mickael Coustaty +2
Multimodal learning from document data has achieved great success lately as it allows to pre-train semantically meaningful features as a prior into a learnable downstream task. In…
Face Detection in Camera Captured Images of Identity Documents under Challenging Conditions
Souhail Bakkali, Zuheng Ming, Muhammad Muzzamil Luqman +1
Benefiting from the advance of deep convolutional neural network approaches (CNNs), many face detection algorithms have achieved state-of-the-art performance in terms of accuracy a…