Are VLMs Ready for Critical Use Cases? Evaluating Zero-Shot Performance with Contextual Prompts
Oussama Zayene, Vincent Audergon, J. Hennebert et al.
· 0 citations
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Aug 2026
How to measure the energy and environmental impact of AI models? Challenges and practical solutions
The energetic and environmental impact of AI is becoming significant in all domains of applications. Specific to Document Engineering, AI models have become the predominant components of modern processing pipelines, ranging from document information extraction, transformation, interpretation, translation, etc. As AI wo...
Loïc Guibert, J. Hennebert, Sébastien Rumley
· Proceedings of the 2026 ACM... · 0 citations
Jul 2026
Reasoning Before Translation: Enhancing Legal Machine Translation with Structured Reasoning
The results show that the quality of small ``base'' models can be greatly enhanced, and that reinforcement learning with verifiable rewards can be applied to NMT in the legal domain and surpasses the translation quality of supervised fine-tuning.
Aixiu An, Michael Jungo, Eloi Eynard et al.
· arXiv.org · 0 citations