Marco Kuhlmann

1. Properties and Challenges of LLM-Generated Explanations
   2024/02/16 by Jenny Kunz, Kunz, Jenny, Marco Kuhlmann +1 · 8 citations
   Computer Science · Mathematics · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Computers and Society (cs.CY) #FOS: Computer and information sciences #Human-Computer Interaction (cs.HC) #Machine Learning (cs.LG) #Modeling, Simulation, and Optimization #Natural Language Processing Techniques #Statistical and Computational Modeling
2. Balanced Product of Calibrated Experts for Long-Tailed Recognition
   2022/06/10 by Emanuel Sanchez Aimar, Arvi Jonnarth, Aimar, Emanuel Sanchez +5 · 4 citations
   Computer Science · #Domain Adaptation and Few-Shot Learning #Multimodal Machine Learning Applications #Machine Learning and Data Classification
3. How Reliable Are Automatic Evaluation Methods for Instruction-Tuned LLMs?
   2024/02/16 by Ehsan Doostmohammadi, Doostmohammadi, Ehsan, Oskar Holmström +3 · 5 citations
   Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #Educational Technology and Assessment #FOS: Computer and information sciences #Intelligent Tutoring Systems and Adaptive Learning #Online Learning and Analytics
4. NL2Plan
   2024/05/07 by Elliot Gestrin, Gestrin, Elliot, Marco Kuhlmann +3 · 6 citations
   Computer Science · #Artificial Intelligence (cs.AI) #FOS: Computer and information sciences #Multimodal Machine Learning Applications #Natural Language Processing Techniques #Topic Modeling
5. Flexible Distribution Alignment: Towards Long-tailed Semi-supervised Learning with Proper Calibration
   2023/06/07 by Emanuel Sanchez Aimar, Hannah Helgesen, Aimar, Emanuel Sanchez +5 · 3 citations
   Computer Science · Medicine · #AI in cancer detection #COVID-19 diagnosis using AI #Computer Vision and Pattern Recognition (cs.CV) #Domain Adaptation and Few-Shot Learning #FOS: Computer and information sciences #Machine Learning (cs.LG)