Scherrer, Nino

FinanceBench: A New Benchmark for Financial Question Answering

Islam, P., Kannappan, A., Kiela, D., Qian, R., Scherrer, N., & Vidgen, B. (2023) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 16

Introducing v0.5 of the AI Safety Benchmark from MLCommons

Vidgen, B., Agrawal, A., Ahmed, A. M., Akinwande, V., Al-Nuaimi, N., Alfaraj, N., Alhajjar, E., Aroyo, L., Bavalatti, T., Bartolo, M., et al. (2024) · arXiv

Ethics and Social Impacts of AIAdversarial Robustness in Machine Learning

Cited by 5

Uncovering mesa-optimization algorithms in Transformers

von Oswald, J., Schlegel, M., Meulemans, A., Kobayashi, S., Niklasson, E., Zucchet, N., Scherrer, N., Miller, N., Sandler, M., Arcas, B. A. Y., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 5

MesaNet: Sequence Modeling by Locally Optimal Test-Time Training

von Oswald, J., Scherrer, N., Kobayashi, S., Versari, L., Yang, S., Mittal, S., Schlegel, M., Maile, K., Schimpf, Y., Sieberling, O., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling

Rodchenko, T., Noy, N., & Scherrer, N. (2025) · arXiv

Topic ModelingArtificial Intelligence Applications

Cited by 0