3 papers
cs.CV2026
N-gram Injection into Transformers for Dynamic Language Model Adaptation in Handwritten Text Recognition
Florent Meyer, Laurent Guichard, Yann Soullard +4
Transformer-based encoder-decoder networks have recently achieved impressive results in handwritten text recognition, partly thanks to their auto-regressive decoder which implicitl…
cs.CL2026
A Study on Building Efficient Zero-Shot Relation Extraction Models
Hugo Thomas, Caio Corro, Guillaume Gravier +1
Zero-shot relation extraction aims to identify relations between entity mentions using textual descriptions of novel types (i.e., previously unseen) instead of labeled training exa…
cs.CV2025
Relaxed syntax modeling in Transformers for future-proof license plate recognition
Florent Meyer, Laurent Guichard, Denis Coquenet +3
Effective license plate recognition systems are required to be resilient to constant change, as new license plates are released into traffic daily. While Transformer-based networks…