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Rei, Marek

  1. Did the Neurons Read your Book? Document-level Membership Inference for Large Language Models
    2023/10/23 by Meeus, Matthieu, Jain, Shubham, Rei, Marek +1 · 14 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  2. SoK: Membership Inference Attacks on LLMs are Rushing Nowhere (and How to Fix It)
    2024/06/25 by Meeus, Matthieu, Shilov, Igor, Jain, Shubham +3 · 15 citations
    #Computation and Language (cs.CL) #Cryptography and Security (cs.CR) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  3. No Need for Explanations: LLMs can implicitly learn from mistakes in-context
    2025/02/12 by Alazraki, Lisa, Mozes, Maximilian, Campos, Jon Ander +3 · 5 citations
    #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences
  4. Meta-Reasoning Improves Tool Use in Large Language Models
    2024/11/07 by Lisa Alazraki, Marek Rei, Alazraki, Lisa +1 · 1 voice · 3 citations
    Computer Science · #Topic Modeling #Natural Language Processing Techniques #Semantic Web and Ontologies
  5. On the application of Large Language Models for language teaching and assessment technology
    2023/07/17 by Caines, Andrew, Benedetto, Luca, Taslimipoor, Shiva +12 · 2 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  6. Attending to Characters in Neural Sequence Labeling Models
    2016/11/14 by Rei, Marek, Crichton, Gamal K. O., Pyysalo, Sampo · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.6 #I.2.7 #I.5.1 #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE)
  7. StateAct: Enhancing LLM Base Agents via Self-prompting and State-tracking
    2024/09/21 by Nikolai Rozanov, Marek Rei, Rozanov, Nikolai +1 · 1 voice · 3 citations
    Computer Science · #Multi-Agent Systems and Negotiation #Semantic Web and Ontologies #Topic Modeling #cs.AI #cs.CL #cs.LG
  8. Guiding Visual Question Generation
    2021/10/15 by Vedd, Nihir, Wang, Zixu, Rei, Marek +2 · 1 citation
    #Computation and Language (cs.CL) #Computer Vision and Pattern Recognition (cs.CV) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  9. Contextual Sentence Classification: Detecting Sustainability Initiatives in Company Reports
    2021/10/07 by Dan Hirlea, Hirlea, Dan, Christopher Bryant +3 · 1 citation
    Computer Science · #Artificial Intelligence (cs.AI) #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG) #Neural and Evolutionary Computing (cs.NE) #Sentiment Analysis and Opinion Mining
  10. Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models
    2022/05/23 by Stacey, Joe, Minervini, Pasquale, Dubossarsky, Haim +1 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #Machine Learning (cs.LG)
  11. Enhancing LLM Robustness to Perturbed Instructions: An Empirical Study
    2025/04/03 by Agrawal, Aryan, Alazraki, Lisa, Honarvar, Shahin +1 · 3 citations
    #Computation and Language (cs.CL) #FOS: Computer and information sciences
  12. An Extended Sequence Tagging Vocabulary for Grammatical Error Correction
    2023/02/12 by Stuart Mesham, Mesham, Stuart, Christopher Bryant +5 · 1 citation
    Computer Science · #Computation and Language (cs.CL) #FOS: Computer and information sciences #Natural Language Processing Techniques #Text Readability and Simplification #Topic Modeling
  13. Atomic Inference for NLI with Generated Facts as Atoms
    2023/05/22 by Stacey, Joe, Minervini, Pasquale, Dubossarsky, Haim +2 · 1 citation
    #Computation and Language (cs.CL) #FOS: Computer and information sciences #I.2.7