publications

2024

  1. The Era of Semantic Decoding
    Martin Josifoski, Maxime Peyrard, and Robert West
    arXiv, 2024
    PDF
  2. Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access
    Saibo Geng, Berkay Döner, Chris Wendler, Martin Josifoski, and Robert West
    ACL, 2024
    PDF
  3. A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia
    Giovanni Monea, Maxime Peyrard, Martin Josifoski, Vishrav Chaudhary, Jason Eisner, and 4 more authors
    ACL, 2024
  4. Evaluating Language Model Agency through Negotiations
    Tim R. Davidson, Veniamin Veselovsky, Martin Josifoski, Maxime Peyrard, Antoine Bosselut, and 2 more authors
    ICML, 2024
    PDF
  5. Symbolic Autoencoding for Self-Supervised Sequence Learning
    Mohammad Hossein Amani, Nicolas Mario Baldwin, Amin Mansouri, Martin Josifoski, Maxime Peyrard, and 1 more author
    ICML 2024 Workshop "Differentiable Almost Everything", 2024
    PDF

2023

  1. Flows: Building Blocks of Reasoning and Collaborating AI
    Martin Josifoski, Lars Klein, Maxime Peyrard, Yifei Li, Saibo Geng, and 5 more authors
    arXiv, 2023
    PDF Code
  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
    PDF
  3. Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning
    Saibo Geng, Martin Josifoski, Maxime Peyrard, and Robert West
    EMNLP, 2023
    PDF Code
  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
    PDF Code
  5. PAC-Bayesian Meta-Learning: From Theory to Practice
    Jonas Rothfuss, Martin Josifoski, Vincent Fortuin, and Andreas Krause
    JMLR, 2023
    PDF Code Code
  6. Language Model Decoding as Likelihood-Utility Alignment
    Martin Josifoski, Maxime Peyrard, Frano Rajic, Jiheng Wei, Debjit Paul, and 5 more authors
    EACL, 2023
    PDF Code

2022

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

2021

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

2020

  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
    PDF Code
  2. Scalable Zero-shot Entity Linking with Dense Entity Retrieval
    Ledell Wu, Fabio Petroni, Martin Josifoski, Sebastian Riedel, and Luke Zettlemoyer
    EMNLP, 2020
    PDF Code

2019

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

2018

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