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Nino Scherrer
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Year
Evaluating the Moral Beliefs Encoded in LLMs
N Scherrer, C Shi, A Feder, D Blei
𝗡𝗲𝘂𝗿𝗜𝗣𝗦 2023 (Spotlight), 2023
2612023
FinanceBench: A New Benchmark For Financial Question Answering
P Islam, A Kannappan, D Kiela, R Qian, N Scherrer, B Vidgen
arXiv preprint, 2023
1792023
Uncovering Mesa-Optimization Algorithms in Transformers
J Von Oswald, M Schlegel, A Meulemans, S Kobayashi, E Niklasson, ...
arXiv preprint, 2023
116*2023
SimpleSafetyTests: A Test Suite for Identifying Critical Safety Risks in Large Language Models
B Vidgen, N Scherrer, HR Kirk, R Qian, A Kannappan, SA Hale, P Röttger
arXiv preprint, 2023
832023
Introducing v0.5 of the AI Safety Benchmark from MLCommons
B Vidgen, A Agrawal, AM Ahmed, V Akinwande, N Al-Nuaimi, N Alfaraj, ...
arXiv preprint, 2024
812024
Learning Neural Causal Models with Active Interventions
N Scherrer, O Bilaniuk, Y Annadani, A Goyal, P Schwab, B Schölkopf, ...
𝗡𝗲𝘂𝗿𝗜𝗣𝗦 2021 (WHY Workshop), 2021
592021
Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
Y Annadani, J Rothfuss, A Lacoste, N Scherrer, A Goyal, Y Bengio, ...
𝗞𝗗𝗗 2021 (Workshop for Bayesian Causal Inference for Real World Interactive …, 2021
532021
Improved Segmentation and Detection Sensitivity of Diffusion-Weighted Stroke Lesions with Synthetically Enhanced Deep Learning
C Federau, S Christensen, N Scherrer, JM Ospel, V Schulze-Zachau, ...
𝗥𝗮𝗱𝗶𝗼𝗹𝗼𝗴𝘆: 𝗔𝗿𝘁𝗶𝗳𝗶𝗰𝗶𝗮𝗹 𝗜𝗻𝘁𝗲𝗹𝗹𝗶𝗴𝗲𝗻𝗰𝗲 2 (5), 2020
332020
MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
J von Oswald*, N Scherrer*, S Kobayashi, L Versari, S Yang, M Schlegel, ...
arXiv preprint, 2025
212025
On the Generalization and Adaption Performance of Causal Models
N Scherrer, A Goyal, S Bauer, Y Bengio, NR Ke
𝗜𝗖𝗠𝗟 2022 (SCIS Workshop), 2022
132022
Federated Causal Discovery from Interventional and Observational Data
A Abyaneh, N Scherrer, P Schwab, S Bauer, B Schölkopf, A Mehrjou
arXiv preprint, 2022
12*2022
Inducing Group Fairness in Prompt-Based Language Model Decisions
J Atwood, N Scherrer, P Lahoti, A Balashankar, F Prost, A Beirami
𝗜𝗖𝗟𝗥 2025 (SCIS Workshop), 2024
11*2024
Trust Your : Gradient-based Intervention Targeting for Causal Discovery
M Olko, M Zając, A Nowak, N Scherrer, Y Annadani, S Bauer, Ł Kuciński, ...
𝗡𝗲𝘂𝗿𝗜𝗣𝗦 2023 (Poster), 2024
7*2024
Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling
T Rodchenko, N Noy, N Scherrer
𝗖𝗼𝗺𝗺𝘂𝗻𝗶𝗰𝗮𝘁𝗶𝗼𝗻𝘀 𝗼𝗳 𝗔𝗖𝗠 - Opinion Article, 2025
2*2025
Multi-agent cooperation through learning-aware policy gradients
A Meulemans, S Kobayashi, J Von Oswald, N Scherrer, E Elmoznino, ...
𝗜𝗖𝗟𝗥 2025 (Poster), 2024
22024
Reasoning Models Generate Societies of Thought
J Kim, S Lai, N Scherrer, B Agüera y Arcas, J Evans
arXiv preprint arXiv:2601.10825, 2026
2026
Emergent Temporal Abstractions in Autoregressive Models Enable Hierarchical Reinforcement Learning
S Kobayashi, Y Schimpf, M Schlegel, A Steger, M Wolczyk, J von Oswald, ...
arXiv preprint arXiv:2512.20605, 2025
2025
Do Depth-Grown Models Overcome the Curse of Depth? An In-Depth Analysis
F Kapl, E Angelis, T Höppe, K Maile, J von Oswald, N Scherrer, S Bauer
arXiv preprint arXiv:2512.08819, 2025
2025
Uncovering Competency Gaps in Large Language Models and Their Benchmarks
M Bohacek, N Scherrer, N Dufour, T Leung, C Bregler, SCY Chan
arXiv preprint arXiv:2512.20638, 2025
2025
Radial Matrix Constraint Influences Tissue Contraction and Promotes Maturation of Bi-Layered Skin Equivalents
J Polak, D Sachs, N Scherrer, A Süess, H Liu, M Levesque, S Werner, ...
𝗕𝗶𝗼𝗺𝗮𝘁𝗲𝗿𝗶𝗮𝗹𝘀 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝘀, 2023
2023
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Articles 1–20