Publications

2024

1. NLP

   Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm

   Rozanov, Nikolai

   arXiv preprint arXiv:2408.10055, 2024

   Bib HTML

   @article{rozanov2024efficient,
     title = {Efficient Exploration in Deep Reinforcement Learning: A Novel Bayesian Actor-Critic Algorithm},
     author = {Rozanov, Nikolai},
     journal = {arXiv preprint arXiv:2408.10055},
     year = {2024}
   }

2. NLP

   StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Models

   Rozanov, Nikolai, and Rei, Marek

   arXiv preprint arXiv:2410.02810, 2024

   Bib HTML

   @article{rozanov2024stateact,
     title = {StateAct: State Tracking and Reasoning for Acting and Planning with Large Language Models},
     author = {Rozanov, Nikolai and Rei, Marek},
     journal = {arXiv preprint arXiv:2410.02810},
     year = {2024}
   }

3. NLP

   IsoChronoMeter: A simple and effective isochronic translation evaluation metric

   Rozanov, Nikolai, Pankov, Vikentiy, Mukhutdinov, Dmitrii, and Vypirailenko, Dima

   arXiv preprint arXiv:2410.11127, 2024

   Bib HTML

   @article{rozanov2024isochronometer,
     title = {IsoChronoMeter: A simple and effective isochronic translation evaluation metric},
     author = {Rozanov, Nikolai and Pankov, Vikentiy and Mukhutdinov, Dmitrii and Vypirailenko, Dima},
     journal = {arXiv preprint arXiv:2410.11127},
     year = {2024}
   }

2023

1. NLP

   Learning From Free-Text Human Feedback–Collect New Datasets Or Extend Existing Ones?

   Petrak, Dominic, Moosavi, Nafise Sadat, Tian, Ye, Rozanov, Nikolai, and Gurevych, Iryna

   arXiv preprint arXiv:2310.15758, 2023

   Bib HTML

   @article{petrak2023learning,
     title = {Learning From Free-Text Human Feedback--Collect New Datasets Or Extend Existing Ones?},
     author = {Petrak, Dominic and Moosavi, Nafise Sadat and Tian, Ye and Rozanov, Nikolai and Gurevych, Iryna},
     journal = {arXiv preprint arXiv:2310.15758},
     year = {2023}
   }

2022

1. NLP

   Connecting the Semantic Dots: Zero-Shot Learning with Self-Aligning Autoencoders and a New Contrastive-Loss for Negative Sampling

   Terry-Jack, Mohammed, and Rozanov, Nikolai

   In 21st IEEE International Conference on Machine Learning and Applications, 2022

   Bib HTML

   @inproceedings{terry2022connecting,
     author = {Terry-Jack, Mohammed and Rozanov, Nikolai},
     booktitle = {21st IEEE International Conference on Machine Learning and Applications},
     pages = {1504--1511},
     year = {2022}
   }

2021

1. NLP

   MATILDA-Multi-AnnoTator multi-language InteractiveLight-weight Dialogue Annotator

   Cucurnia, Davide, Rozanov, Nikolai, Sucameli, Irene, Ciuffoletti, Augusto, and Simi, Maria

   In Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations, 2021

   Bib HTML

   @inproceedings{cucurnia2021matilda,
     title = {MATILDA-Multi-AnnoTator multi-language InteractiveLight-weight Dialogue Annotator},
     author = {Cucurnia, Davide and Rozanov, Nikolai and Sucameli, Irene and Ciuffoletti, Augusto and Simi, Maria},
     booktitle = {Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: System Demonstrations},
     pages = {32--39},
     year = {2021}
   }

2020

1. NLP

   Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers

   Lauscher, Anne, Majewska, Olga, Ribeiro, Leonardo FR, Gurevych, Iryna, Rozanov, Nikolai, and Glavaš, Goran

   arXiv preprint arXiv:2005.11787, 2020

   Bib HTML

   @article{lauscher2020common,
     title = {Common Sense or World Knowledge? Investigating Adapter-Based Knowledge Injection into Pretrained Transformers},
     author = {Lauscher, Anne and Majewska, Olga and Ribeiro, Leonardo FR and Gurevych, Iryna and Rozanov, Nikolai and Glava{\v{s}}, Goran},
     journal = {arXiv preprint arXiv:2005.11787},
     year = {2020}
   }

2019

1. NLP

   LIDA: Lightweight Interactive Dialogue Annotator

   Collins, Edward, Rozanov, Nikolai, and Zhang, Bingbing

   In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations, 2019

   Bib HTML

   @inproceedings{collins2019lida,
     title = {LIDA: Lightweight Interactive Dialogue Annotator},
     author = {Collins, Edward and Rozanov, Nikolai and Zhang, Bingbing},
     booktitle = {Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP): System Demonstrations},
     pages = {121--126},
     year = {2019}
   }

2018

1. NLP

   Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks

   Collins, Edward, Rozanov, Nikolai, and Zhang, Bingbing

   In Proceedings of the 22nd Conference on Computational Natural Language Learning, 2018

   Bib HTML

   @inproceedings{collins2018evolutionary,
     title = {Evolutionary Data Measures: Understanding the Difficulty of Text Classification Tasks},
     author = {Collins, Edward and Rozanov, Nikolai and Zhang, Bingbing},
     booktitle = {Proceedings of the 22nd Conference on Computational Natural Language Learning},
     pages = {380--391},
     year = {2018}
   }

2017

2016

2015

2014

2013