Ido Hakimi
- Efficiently Learning at Test-Time: Active Fine-Tuning of LLMs
2024/10/10 by Jonas Hübotter, Sascha Bongni, Hübotter, Jonas +5 · 3 voices · 24 citations
Computer Science · #Machine Learning and Algorithms #cs.AI #cs.LG
- Reinforcement Learning via Self-Distillation
2026/01/28 by Jonas Hübotter, Frederike Lübeck, Lejs Behric +8 · 5 voices · 16 citations
Computer Science · #cs.LG #cs.AI
- Apertus: Democratizing Open and Compliant LLMs for Global Language Environments
2025/09/17 by Project Apertus, Alejandro Hernández-Cano, Apertus, Project +203 · 4 voices · 10 citations
Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #cs.AI #cs.CL #cs.LG
- Faster Neural Network Training with Approximate Tensor Operations
2018/05/21 by Menachem Adelman, Adelman, Menachem, Kfir Y. Levy +5 · 3 citations
Computer Science · Mathematics · #Advanced Neural Network Applications #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Neural and Evolutionary Computing (cs.NE) #Stochastic Gradient Optimization Techniques #Tensor decomposition and applications
- Gap Aware Mitigation of Gradient Staleness
2019/09/24 by Saar Barkai, Barkai, Saar, Ido Hakimi +3 · 2 citations
Computer Science · #Advanced Neural Network Applications #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques
- Taming Momentum in a Distributed Asynchronous Environment
2019/07/26 by Ido Hakimi, Hakimi, Ido, Saar Barkai +5 · 3 citations
Computer Science · #Advanced Neural Network Applications #Distributed #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Parallel #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #and Cluster Computing (cs.DC)
- From Problem-Solving to Teaching Problem-Solving: Aligning LLMs with Pedagogy using Reinforcement Learning
2025/05/21 by David Dinucu-Jianu, Jakub Mačina, Dinucu-Jianu, David +9 · 4 citations
Social Sciences · #Artificial Intelligence (cs.AI) #Artificial Intelligence in Law #Computation and Language (cs.CL) #FOS: Computer and information sciences
- q2d: Turning Questions into Dialogs to Teach Models How to Search
2023/04/27 by Yonatan Bitton, Shlomi Cohen-Ganor, Bitton, Yonatan +9 · 1 citation
Computer Science · #Topic Modeling #Speech and dialogue systems #Multimodal Machine Learning Applications
- Learning on the Job: Test-Time Curricula for Targeted Reinforcement Learning
2025/10/06 by Jonas Hübotter, Leander Diaz-Bone, Hübotter, Jonas +7 · 3 citations
Computer Science · #Open Source Software Innovations
- Maximizing Prefix-Confidence at Test-Time Efficiently Improves Mathematical Reasoning
2025/07/24 by Matthias Otth, Jonas Hübotter, Otth, Matthias +5 · 2 citations
Computer Science · #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Machine Learning (cs.LG) #Mathematics, Computing, and Information Processing