3 papers
cs.AI2026
Zero knowledge verification for frontier AI training is possible
Pierre Peigné, Pierre Peigné, Ky Nguyen +1
Frontier AI governance frameworks increasingly use cumulative training compute as the primary criterion for designating high-impact models, but enforcement rests on self-reporting…
cs.LG2026
The Evaluation Game: Beyond Static LLM Benchmarking
Paul Wang, Jade Garcia-Bourrée, Anne-Marie Kermarrec +1
As jailbreaks, adversarially crafted inputs that bypass safety constraints, continue to be discovered in Large Language Models, practitioners increasingly rely on fine-tuning as a…
quant-ph2025
Compilation, Optimization, Error Mitigation, and Machine Learning in Quantum Algorithms
Shuangbao Paul Wang, Jianzhou Mao, Eric Sakk
This paper discusses the compilation, optimization, and error mitigation of quantum algorithms, essential steps to execute real-world quantum algorithms. Quantum algorithms running…