Maria Bielikova
17 papers · 2018–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (35) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Dynamic Duo
(13)
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Prolific Year · Productive
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Unstoppable · Bronze
💎
Century Club · Bronze
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Venues
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Research topics
Machine Learning
(11)
Natural Language Processing
(11)
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(8)
Deep Learning
(7)
Applications
(7)
Artificial Intelligence
(6)
Application Areas
(5)
Learning Types · Deep Learning
(5)
Core AI
(4)
Core Methods
(4)
Learning Types · Machine Learning
(4)
Architectures
(3)
Generation
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Keywords
large language model
(5)
text classification
(5)
parameter-efficient fine-tuning
(3)
few-shot learning
(3)
machine-generated text detection
(2)
text augmentation
(2)
bidirectional lstm
(2)
word embedding
(2)
neural network
(2)
in-context learning
(2)
information retrieval
(1)
text generation
(1)
ensemble learning
(1)
emotion recognition
(1)
adversarial robustness
(1)
data augmentation
(1)
transfer learning
(1)
ai safety
(1)
gaussian noise
(1)
paraphrase generation
(1)
Papers
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
EACL 2026
PEFT-Bench: A Parameter-Efficient Fine-Tuning Methods Benchmark
EACL 2026
PEFT-Factory: Unified Parameter-Efficient Fine-Tuning of Autoregressive Large Language Models
EACL 2026
Comparing Specialised Small and General Large Language Models on Text Classification: 100 Labelled Samples to Achieve Break-Even Performance
EMNLP 2025
Use Random Selection for Now: Investigation of Few-Shot Selection Strategies in LLM-based Text Augmentation
EMNLP 2025
Authorship Obfuscation in Multilingual Machine-Generated Text Detection
EMNLP 2024
Disinformation Capabilities of Large Language Models
ACL 2024
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
ACL 2024
Fighting Randomness with Randomness: Mitigating Optimisation Instability of Fine-Tuning using Delayed Ensemble and Noisy Interpolation
EMNLP 2024
On Sensitivity of Learning with Limited Labelled Data to the Effects of Randomness: Impact of Interactions and Systematic Choices
EMNLP 2024
Multilingual Previously Fact-Checked Claim Retrieval
EMNLP 2023
MULTITuDE: Large-Scale Multilingual Machine-Generated Text Detection Benchmark
EMNLP 2023
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)
IJCAI 2022
Improving Sentiment Classification in Slovak Language
ACL 2019
NL-FIIT at SemEval-2019 Task 9: Neural Model Ensemble for Suggestion Mining
SemEval 2019
Improving Moderation of Online Discussions via Interpretable Neural Models
EMNLP 2018
NL-FIIT at IEST-2018: Emotion Recognition utilizing Neural Networks and Multi-level Preprocessing
EMNLP 2018