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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…
Structured Visual Target Learning For Cross-Subject eeg-to-image retrieval
Salini Yadav, Taveena Lotey, Mickaël Coustaty +2
Cross-subject EEG-to-image retrieval requires a neural represen- tation trained on source subjects to remain aligned with a visual embedding space for an unseen subject. Whereas ex…
Beyond Single-Negative Preference: Multi-Negative DPO for LLM-Centric Historical Entity Linking
Tien Nam Nguyen, Emanuela Boros, Ahmed Hamdi +3
Large language models (LLMs) have recently shown promise for historical entity linking, but preference optimization for this task is often formulated with only one negative candida…
When Superpixels Fail on Documents: A Study of Segmentation for LIME Explanations
Quentin Telnoff, Emanuela Boros, Mickaël Coustaty +3
Post-hoc explanation methods are widely used to inspect image classifiers, but their reliability depends on design choices that are often treated as implementation details. We stud…
Active Learning for Cascaded Object Detection: Balancing Coverage and Uncertainty in Table Extraction Pipelines
Eliott Thomas, Mickael Coustaty, Aurelie Joseph +3
Table extraction from business documents relies on a cascaded pipeline where Table Detection (TD) first localizes tables and Table Structure Recognition (TSR) then recovers their i…
ConRTF: Edge-Constrained Boundary Distribution Refinement for Realtime TransFormer Table Structure Recognition
Eliott Thomas, Tri-Cong Pham, Mickael Coustaty +5
Table Structure Recognition (TSR) aims to recover the row and column layout of tables from document images, a key step in document understanding pipelines. Accurate TSR depends on…
DocQT: Improving Document Forgery Localization Robustness via Diverse JPEG Quantization Tables
Kylian Ronfleux-Corail, Guillaume Bernard, Mickaël Coustaty +1
Document manipulation localization models achieve strong performance on public benchmarks yet fail to generalize to operational document workflows. We identify a critical and overl…