| Scalable zero-shot entity linking with dense entity retrieval L Wu, F Petroni, M Josifoski, S Riedel, L Zettlemoyer arXiv preprint arXiv:1911.03814, 2019 | 572 | 2019 |
| PACOH: Bayes-optimal meta-learning with PAC-guarantees J Rothfuss, V Fortuin, M Josifoski, A Krause International Conference on Machine Learning, 9116-9126, 2021 | 136 | 2021 |
| Exploiting asymmetry for synthetic training data generation: SynthIE and the case of information extraction M Josifoski, M Sakota, M Peyrard, R West EMNLP 2023, 2023 | 97 | 2023 |
| GenIE: generative information extraction M Josifoski, N De Cao, M Peyrard, F Petroni, R West NAACL, 2021 | 73 | 2021 |
| Grammar-constrained decoding for structured NLP tasks without finetuning S Geng, M Josifoski, M Peyrard, R West arXiv preprint arXiv:2305.13971, 2023 | 63* | 2023 |
| Generating faithful synthetic data with large language models: A case study in computational social science V Veselovsky, MH Ribeiro, A Arora, M Josifoski, A Anderson, R West arXiv preprint arXiv:2305.15041, 2023 | 53 | 2023 |
| Flows: Building blocks of reasoning and collaborating ai M Josifoski, L Klein, M Peyrard, N Baldwin, Y Li, S Geng, JP Schnitzler, ... arXiv preprint arXiv:2308.01285, 2023 | 21 | 2023 |
| Invariant language modeling M Peyrard, SS Ghotra, M Josifoski, V Agarwal, B Patra, D Carignan, ... arXiv preprint arXiv:2110.08413, 2021 | 19 | 2021 |
| Evaluating language model agency through negotiations TR Davidson, V Veselovsky, M Josifoski, M Peyrard, A Bosselut, ... arXiv preprint arXiv:2401.04536, 2024 | 17 | 2024 |
| Scalable pac-bayesian meta-learning via the pac-optimal hyper-posterior: From theory to practice J Rothfuss, M Josifoski, V Fortuin, A Krause Journal of Machine Learning Research 24 (386), 1-62, 2023 | 17 | 2023 |
| Crosslingual document embedding as reduced-rank ridge regression M Josifoski, IS Paskov, HS Paskov, M Jaggi, R West Proceedings of the Twelfth ACM International Conference on Web Search and …, 2019 | 15 | 2019 |
| A glitch in the matrix? locating and detecting language model grounding with fakepedia G Monea, M Peyrard, M Josifoski, V Chaudhary, J Eisner, E Kıcıman, ... arXiv preprint arXiv:2312.02073, 2023 | 9 | 2023 |
| Sketch-guided constrained decoding for boosting blackbox large language models without logit access S Geng, B Döner, C Wendler, M Josifoski, R West arXiv preprint arXiv:2401.09967, 2024 | 5 | 2024 |
| Deep Learning the Protein Function in Protein Interaction Networks K Trivodaliev, M Josifoski, S Kalajdziski ICT Innovations 2018. Engineering and Life Sciences: 10th International …, 2018 | 3 | 2018 |
| Language Model Decoding as Likelihood–Utility Alignment M Josifoski, M Peyrard, F Rajic, J Wei, D Paul, V Hartmann, B Patra, ... EACL 2023, 2022 | 2 | 2022 |
| The Era of Semantic Decoding M Peyrard*, M Josifoski*, R West arXiv preprint arXiv:2403.14562, 2024 | 1 | 2024 |
| Meta-Learning Bayesian Neural Network Priors Based on PAC-Bayesian Theory J Rothfuss, M Josifoski, A Krause | 1 | 2020 |
| Instance based learning in protein interaction networks M Josifoski, K Trivodaliev Faculty of Computer Science and Engineering, Ss. Cyril and Methodius …, 2017 | 1 | 2017 |
| Symbolic Autoencoding for Self-Supervised Sequence Learning MH Amani, NM Baldwin, A Mansouri, M Josifoski, M Peyrard, R West arXiv preprint arXiv:2402.10575, 2024 | | 2024 |
| Symbolic Autoencoding with Straight-Through Gradient Approximations MH Amani, N Baldwin, A Mansouri, M Josifoski, M Peyrard, R West | | |
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