Deep Learning the Protein Function in Protein Interaction Networks. - Kire Trivodaliev; Martin Josifoski; Slobodan Kalajdziski (ICT Innovations, 2018)

Crosslingual Document Embedding as Reduced-Rank Ridge Regression. - Martin Josifoski; Ivan S. Paskov; Hristo S. Paskov; Martin Jaggi; Robert West 001 (WSDM, 2019)

Zero-shot Entity Linking with Dense Entity Retrieval. - Ledell Wu; Fabio Petroni; Martin Josifoski; Sebastian Riedel 001; Luke Zettlemoyer (CoRR, 2019)

Scalable Zero-shot Entity Linking with Dense Entity Retrieval. - Ledell Wu; Fabio Petroni; Martin Josifoski; Sebastian Riedel 001; Luke Zettlemoyer (EMNLP (1), 2020)

PACOH: Bayes-Optimal Meta-Learning with PAC-Guarantees. - Jonas Rothfuss; Vincent Fortuin; Martin Josifoski; Andreas Krause 001 (ICML, 2021)

Invariant Language Modeling. - Maxime Peyrard; Sarvjeet Singh Ghotra; Martin Josifoski; Vidhan Agarwal; Barun Patra; Dean Carignan; Emre Kiciman; Robert West 001 (CoRR, 2021)

GenIE: Generative Information Extraction. - Martin Josifoski; Nicola De Cao; Maxime Peyrard; Robert West 001 (CoRR, 2021)

Invariant Language Modeling. - Maxime Peyrard; Sarvjeet Singh Ghotra; Martin Josifoski; Vidhan Agarwal; Barun Patra; Dean Carignan; Emre Kiciman; Saurabh Tiwary; Robert West 001 (EMNLP, 2022)

GenIE: Generative Information Extraction. - Martin Josifoski; Nicola De Cao; Maxime Peyrard; Fabio Petroni; Robert West 001 (NAACL-HLT, 2022)

Language Model Decoding as Likelihood-Utility Alignment. - Martin Josifoski; Maxime Peyrard; Frano Rajic; Jiheng Wei; Debjit Paul; Valentin Hartmann; Barun Patra; Vishrav Chaudhary; Emre Kiciman; Boi Faltings; Robert West 001 (CoRR, 2022)

PAC-Bayesian Meta-Learning: From Theory to Practice. - Jonas Rothfuss; Martin Josifoski; Vincent Fortuin; Andreas Krause 001 (CoRR, 2022)

Language Model Decoding as Likelihood-Utility Alignment. - Martin Josifoski; Maxime Peyrard; Frano Rajic; Jiheng Wei; Debjit Paul; Valentin Hartmann; Barun Patra; Vishrav Chaudhary; Emre Kiciman; Boi Faltings (EACL (Findings), 2023)

Grammar-Constrained Decoding for Structured NLP Tasks without Finetuning. - Saibo Geng; Martin Josifoski; Maxime Peyrard; Robert West 001 (EMNLP, 2023)

Exploiting Asymmetry for Synthetic Training Data Generation: SynthIE and the Case of Information Extraction. - Martin Josifoski; Marija Sakota; Maxime Peyrard; Robert West 001 (EMNLP, 2023)

Flexible Grammar-Based Constrained Decoding for Language Models. - Saibo Geng; Martin Josifosky; Maxime Peyrard; Robert West 001 (CoRR, 2023)

Generating Faithful Synthetic Data with Large Language Models: A Case Study in Computational Social Science. - Veniamin Veselovsky; Manoel Horta Ribeiro; Akhil Arora 001; Martin Josifoski; Ashton Anderson; Robert West 001 (CoRR, 2023)

Flows: Building Blocks of Reasoning and Collaborating AI. - Martin Josifoski; Lars Henning Klein; Maxime Peyrard; Yifei Li; Saibo Geng; Julian Paul Schnitzler; Yuxing Yao; Jiheng Wei; Debjit Paul; Robert West 001 (CoRR, 2023)

Scalable PAC-Bayesian Meta-Learning via the PAC-Optimal Hyper-Posterior: From Theory to Practice. - Jonas Rothfuss; Martin Josifoski; Vincent Fortuin; Andreas Krause 001 (J. Mach. Learn. Res., 2023)

Sketch-Guided Constrained Decoding for Boosting Blackbox Large Language Models without Logit Access. - Saibo Geng; Berkay Döner; Chris Wendler; Martin Josifoski; Robert West 001 (ACL (Short Papers), 2024)

A Glitch in the Matrix? Locating and Detecting Language Model Grounding with Fakepedia. - Giovanni Monea; Maxime Peyrard; Martin Josifoski; Vishrav Chaudhary; Jason Eisner; Emre Kiciman; Hamid Palangi; Barun Patra; Robert West 001 (ACL (1), 2024)

Evaluating Language Model Agency through Negotiations. - Tim R. Davidson; Veniamin Veselovsky; Martin Josifoski; Maxime Peyrard; Antoine Bosselut; Michal Kosinski; Robert West 001 (CoRR, 2024)

Symbolic Autoencoding for Self-Supervised Sequence Learning. - Mohammad Hossein Amani; Nicolas Mario Baldwin; Amin Mansouri; Martin Josifoski; Maxime Peyrard; Robert West 001 (CoRR, 2024)

The Era of Semantic Decoding. - Maxime Peyrard; Martin Josifoski; Robert West 001 (CoRR, 2024)

The Automated LLM Speedrunning Benchmark: Reproducing NanoGPT Improvements. - Bingchen Zhao; Despoina Magka; Minqi Jiang; Xian Li; Roberta Raileanu; Tatiana Shavrina; Jean-Christophe Gagnon-Audet; Kelvin Niu; Shagun Sodhani; Michael Shvartsman; Andrei Lupu; Alisia Maria Lupidi; et al. (CoRR, 2025)

AI Research Agents for Machine Learning: Search, Exploration, and Generalization in MLE-bench. - Edan Toledo; Karen Hambardzumyan; Martin Josifoski; Rishi Hazra; Nicolas Mario Baldwin; Alexis Audran-Reiss; Michael Kuchnik; Despoina Magka; Minqi Jiang; Alisia Maria Lupidi; Andrei Lupu; Roberta Raileanu; et al. (CoRR, 2025)