25.8k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Central European Institute of TechnologyCZ145 papers
- Centre National de la Recherche ScientifiqueFR42 papers
- Masaryk UniversityCZ41 papers
- TU WienAT34 papers
- Université Grenoble AlpesFR24 papers
- FZU ‒ Institute of Physics of the Academy of Sciences of the Czech RepublicCZ22 papers
- University of ViennaAT21 papers
- Charles UniversityCZ17 papers
- Central European Institute of Technology – Masaryk UniversityCZ16 papers
- Kempelen Institute of Intelligent Technologies13 papers
- Laboratoire National des Champs Magnétiques IntensesFR13 papers
- Military University of Technology in WarsawPL13 papers
7 papers · 2 filters
Task Prompt Vectors: Effective Initialization through Multi-Task Soft-Prompt Transfer
Robert Belanec, Simon Ostermann, Ivan Srba +1
Prompt tuning is an efficient solution for training large language models (LLMs). However, current soft-prompt-based methods often sacrifice multi-task modularity, requiring the tr…
Soft Language Prompts for Language Transfer
Ivan Vykopal, Simon Ostermann, Marián Šimko
Cross-lingual knowledge transfer, especially between high- and low-resource languages, remains challenging in natural language processing (NLP). This study offers insights for impr…
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
Branislav Pecher, Jan Cegin, Robert Belanec +3
While fine-tuning of pre-trained language models generally helps to overcome the lack of labelled training samples, it also displays model performance instability. This instability…
DAIC-WOZ: On the Validity of Using the Therapist's prompts in Automatic Depression Detection from Clinical Interviews
Sergio Burdisso, Ernesto Reyes-Ramírez, Esaú Villatoro-Tello +3
Automatic depression detection from conversational data has gained significant interest in recent years. The DAIC-WOZ dataset, interviews conducted by a human-controlled virtual ag…
Reliability Estimation of News Media Sources: Birds of a Feather Flock Together
Sergio Burdisso, Dairazalia Sánchez-Cortés, Esaú Villatoro-Tello +1
Evaluating the reliability of news sources is a routine task for journalists and organizations committed to acquiring and disseminating accurate information. Recent research has sh…
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
Branislav Pecher, Ivan Srba, Maria Bielikova
While learning with limited labelled data can improve performance when the labels are lacking, it is also sensitive to the effects of uncontrolled randomness introduced by so-calle…
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
Jan Cegin, Branislav Pecher, Jakub Simko +3
The latest generative large language models (LLMs) have found their application in data augmentation tasks, where small numbers of text samples are LLM-paraphrased and then used to…