Jakub Simko
15 papers · 2022–2026 · 6 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (30) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🤝 Dynamic Duo (10)
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Prolific Year · Productive
🔥
Unstoppable · Bronze
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The Questioner
💎
Century Club · Bronze
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Keyword Collector
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Research topics
Natural Language Processing
(11)
Machine Learning
(9)
Applications · Natural Language Processing
(8)
Resources & Methods
(7)
Deep Learning
(6)
Application Areas
(6)
Learning Types · Deep Learning
(6)
Artificial Intelligence
(4)
Generation
(3)
Learning Types · Machine Learning
(3)
Core AI
(2)
Learning Paradigms
(2)
Optimization & Theory
(2)
Data Science & Analytics
(1)
Applications · Data Science & Analytics
(1)
Keywords
large language model
(6)
data augmentation
(4)
text classification
(3)
text augmentation
(3)
low-resource language
(3)
machine-generated text detection
(2)
synthetic data generation
(2)
paraphrase generation
(2)
synthetic data
(2)
parameter-efficient fine-tuning
(2)
transfer learning
(1)
multilingual nlp
(1)
cross-lingual transfer
(1)
binary classification
(1)
few-shot learning
(1)
knowledge distillation
(1)
model robustness
(1)
domain generalization
(1)
sequence classification
(1)
intent classification
(1)
Papers
Better as Generators Than Classifiers: Leveraging LLMs and Synthetic Data for Low-Resource Multilingual Classification
EACL 2026
mcdok at SemEval-2026 Task 13: Finetuning LLMs for Detection of Machine-Generated Code
SemEval 2026
mdok-style at SemEval-2026 Task 9: Finetuning LLMs for Multilingual Polarization Detection
SemEval 2026
MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models
EACL 2026
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
EACL 2026
A Rigorous Evaluation of LLM Data Generation Strategies for Low-Resource Languages
EMNLP 2025
LLMs vs Established Text Augmentation Techniques for Classification: When do the Benefits Outweight the Costs?
NAACL 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
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
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
EMNLP 2023
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