1. Flows: Building Blocks of Reasoning and Collaborating AI
    Martin Josifoski, Lars Klein, Maxime Peyrard, Yifei Li, Saibo Geng, and 5 more authors
    Under Review, 2023
  2. Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science
    Veniamin Veselovsky, Manoel Horta Ribeiro, Akhil Arora, Martin Josifoski, Ashton Anderson, and 1 more author
    arXiv, 2023
  3. Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
    Saibo Geng, Martin Josifoski, Maxime Peyrard, and Robert West
    EMNLP, 2023
  4. Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction
    Martin Josifoski, Marija Sakota, Maxime Peyrard, and Robert West
    EMNLP, 2023
  5. PAC-Bayesian Meta-Learning: From Theory to Practice
    Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, and Andreas Krause
    JMLR, 2023
  6. Language Model Decoding as Likelihood-Utility Alignment
    Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, and 5 more authors
    EACL, 2023


  1. GenIE: Generative Information Extraction
    Martin Josifoski, Nicola De Cao, Maxime Peyrard, Fabio Petroni, and Robert West
    NAACL, 2022
  2. Invariant Language Modeling
    Maxime Peyrard, Sarvjeet Singh Ghotra, Martin Josifoski, Vidhan Agarwal, Barun Patra, and 4 more authors
    EMNLP, 2022


  1. PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees
    Jonas Rothfuss, Vincent Fortuin, Martin Josifoski, and Andreas Krause
    ICML, 2021


  1. Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory
    Jonas Rothfuss, Martin Josifoski, and Andreas Krause
    Workshop on Meta-Learning at NeurIPS, 2020
  2. Scalable Zero-shot Entity Linking with Dense Entity Retrieval
    Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer
    EMNLP, 2020


  1. Crosslingual Document Embedding as Reduced-Rank Ridge Regression
    Martin Josifoski, Ivan S. Paskov, Hristo S. Paskov, Martin Jaggi, and Robert West
    WSDM, 2019


  1. Deep Learning the Protein Function in Protein Interaction Networks
    Kire Trivodaliev, Martin Josifoski, and Slobodan Kalajdziski
    ICT, 2018