Branislav Pecher
11 papers · 2022–2026 · 5 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Silver 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (25) 🤝 Dynamic Duo (10) 💎 Century Club · Bronze
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(9)
Natural Language Processing
(6)
Learning Types · Machine Learning
(5)
Resources & Methods
(5)
Artificial Intelligence
(4)
Deep Learning
(3)
Application Areas
(3)
Applications · Natural Language Processing
(3)
Learning Paradigms
(3)
Learning Types · Deep Learning
(3)
Optimization & Theory
(3)
Data Science & Analytics
(1)
Applications · Data Science & Analytics
(1)
Core AI
(1)
Core Methods
(1)
Keywords
few-shot learning
(4)
text classification
(4)
large language model
(3)
low-resource language
(2)
limited labelled data
(2)
text augmentation
(2)
parameter-efficient fine-tuning
(2)
in-context learning
(2)
persuasion detection
(1)
multilingual text classification
(1)
sample selection
(1)
synthetic data
(1)
noise regularization
(1)
pre-trained language model
(1)
downstream performance
(1)
recommender system
(1)
low-resource setting
(1)
lexical diversity
(1)
model interpolation
(1)
multilingual classification
(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
RoSE: Round-robin Synthetic Data Evaluation for Selecting LLM Generators without Human Test Sets
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
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
KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection
SemEval 2023
Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)
IJCAI 2022
Transferability and Stability of Learning with Limited Labelled Data in Multilingual Text Document Classification
IJCAI 2022