Peter Brusilovsky
6 papers · 2017–2025 · 3 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Silver 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🗺️ Taxonomy Completionist (12) 🧭 Keyword Pioneer
🏆
Keyword Champion
(3)
❓
The Questioner
Top co-authors
Research topics
Machine Learning
(6)
Natural Language Processing
(4)
Application Areas
(4)
Deep Learning
(3)
Applications
(3)
Generation · Natural Language Processing
(3)
Core Methods
(2)
Learning Types · Machine Learning
(2)
Learning Types · Deep Learning
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Generation · Computer Vision
(1)
Learning Paradigms
(1)
Models
(1)
Keywords
text augmentation
(3)
data augmentation
(3)
large language model
(3)
keyphrase generation
(2)
intent classification
(1)
paraphrase generation
(1)
semantic meaning
(1)
generative model
(1)
recurrent neural network
(1)
sample selection
(1)
low-resource setting
(1)
encoder-decoder framework
(1)
lexical diversity
(1)
generation diversity
(1)
absent keyphrase
(1)
cost-benefit analysis
(1)
downstream model
(1)
diversity incentive
(1)
seq2seq keyphrase
(1)
variable number generation
(1)
Papers
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
Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation
ACL 2024
ChatGPT to Replace Crowdsourcing of Paraphrases for Intent Classification: Higher Diversity and Comparable Model Robustness
EMNLP 2023
One Size Does Not Fit All: Generating and Evaluating Variable Number of Keyphrases
ACL 2020
Deep Keyphrase Generation
ACL 2017