Ajay Patel
14 papers · 2018–2025 · 8 venues · across top CS/AI venues
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Machine Learning
(11)
Natural Language Processing
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Artificial Intelligence
(9)
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Deep Learning
(7)
Core Methods
(6)
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(6)
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Keywords
large language model
(4)
authorship attribution
(3)
synthetic data generation
(3)
text style transfer
(2)
data augmentation
(2)
contrastive learning
(2)
vision-language model
(2)
few-shot learning
(2)
interpretable embedding
(2)
multimodal learning
(2)
style embedding
(2)
prompt engineering
(1)
style transfer
(1)
text generation
(1)
cross-lingual transfer
(1)
gradient-based optimization
(1)
zero-shot learning
(1)
multilingual nlp
(1)
code generation
(1)
machine translation
(1)
Papers
Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution
COLING 2025
Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models
CVPR 2025
mStyleDistance: Multilingual Style Embeddings and their Evaluation
ACL 2025
Quantifying Misattribution Unfairness in Authorship Attribution
ACL 2025
Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation
ACL 2025
StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples
NAACL 2025
DataDreamer: A Tool for Synthetic Data Generation and Reproducible LLM Workflows
ACL 2024
ParaGuide: Guided Diffusion Paraphrasers for Plug-and-Play Textual Style Transfer
AAAI 2024
TinyStyler: Efficient Few-Shot Text Style Transfer with Authorship Embeddings
EMNLP 2024
Bidirectional Language Models Are Also Few-shot Learners
ICLR 2023
Learning Interpretable Style Embeddings via Prompting LLMs
EMNLP 2023
Multilingual Bidirectional Unsupervised Translation through Multilingual Finetuning and Back-Translation
EACL 2023
TopGuNN: Fast NLP Training Data Augmentation using Large Corpora
NAACL 2021
Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package
EMNLP 2018