Nino Scherrer
- Uncovering mesa-optimization algorithms in Transformers
2023/09/11 by Johannes von Oswald, Maximilian Schlegel, von Oswald, Johannes +24 · 2 voices · 13 citations
Computer Science · #Domain Adaptation and Few-Shot Learning #Natural Language Processing Techniques #Topic Modeling #cs.AI #cs.LG
- Evaluating the Moral Beliefs Encoded in LLMs
2023/07/26 by Nino Scherrer, Claudia Shi, Scherrer, Nino +5 · 36 citations
Computer Science · Decision Sciences · #Topic Modeling #Natural Language Processing Techniques #Data Quality and Management
- Reasoning Models Generate Societies of Thought
2026/01/15 by Junsol Kim, Shiyang Lai, Nino Scherrer +2 · 17 voices
#cs.CL #cs.CY #cs.LG
- Introducing v0.5 of the AI Safety Benchmark from MLCommons
2024/04/18 by Bertie Vidgen, Vidgen, Bertie, Adarsh Agrawal +202 · 2 voices · 10 citations
Computer Science · #Adversarial Robustness in Machine Learning
- SimpleSafetyTests: a Test Suite for Identifying Critical Safety Risks in Large Language Models
2023/11/14 by Bertie Vidgen, Nino Scherrer, Vidgen, Bertie +11 · 1 voice · 7 citations
#cs.CL
- Emergent temporal abstractions in autoregressive models enable hierarchical reinforcement learning
2025/12/23 by Seijin Kobayashi, Kobayashi, Seijin, Yanick Schimpf +29 · 5 voices · 1 citation
Computer Science · #Reinforcement Learning in Robotics #Adversarial Robustness in Machine Learning #Neural Networks and Reservoir Computing
- MesaNet: Sequence Modeling by Locally Optimal Test-Time Training
2025/06/05 by Johannes von Oswald, Nino Scherrer, von Oswald, Johannes +30 · 11 citations
Computer Science · #Topic Modeling #Advanced Neural Network Applications #Domain Adaptation and Few-Shot Learning
- Variational Causal Networks: Approximate Bayesian Inference over Causal Structures
2021/06/14 by Yashas Annadani, Annadani, Yashas, Jonas Rothfuss +11 · 3 citations
Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Bayesian Modeling and Causal Inference #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms #Statistical Methods and Inference
- Learning Neural Causal Models with Active Interventions
2021/09/06 by Nino Scherrer, Olexa Bilaniuk, Scherrer, Nino +17 · 2 citations
Computer Science · #Bayesian Modeling and Causal Inference #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Machine Learning and Algorithms
- On the Role of Feedback in Test-Time Scaling of Agentic AI Workflows
2025/04/02 by Chakraborty, Souradip, Mohammadreza Pourreza, Pourreza, Mohammadreza +16 · 2 citations
Decision Sciences · Computer Science · #Scientific Computing and Data Management #Explainable Artificial Intelligence (XAI) #Multi-Agent Systems and Negotiation
- Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling
2025/01/23 by Tanya Rodchenko, Natasha Noy, Rodchenko, Tanya +3 · 1 voice · 1 citation
Computer Science · #Artificial Intelligence (cs.AI) #Explainable Artificial Intelligence (XAI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.LG