Selected Publications

To see the full list of publications, please visit my Google Scholar profile: Google Scholar.

A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches

Gaurav Sahu, Olga Vechtomova, Issam Laradji

In Proceedings of NAACL-HLT 2025

Balancing Indeterminacy and Structure: Neural Text Generation for Artistic Inspiration

Olga Vechtomova, Gaurav Sahu

In Proceedings of the 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMusArt 2025)

Future Sight: Dynamic Story Generation with Large Pretrained Language Models

Brian Zimmerman, Gaurav Sahu, Olga Vechtomova

In Proceedings of the 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMusArt 2025)

Between Predictability and Randomness: Seeking Artistic Inspiration from AI Generative Models

Olga Vechtomova

LACUS Forum, Vol. 50. (2025) The Linguistic Association of Canada and the United States.

AI and Creativity: Generating Lyrical and Poetic Texts to Inspire Artists

Olga Vechtomova

Keynote Speech at the 50th Conference of the Linguistic Association of Canada and the United States. July 2024

PromptMix: A Class Boundary Augmentation Method for Large Language Model Distillation

Gaurav Sahu, Olga Vechtomova, Dzmitry Bahdanau, Issam Laradji

In Proc. EMNLP 2023.

LyricJam Sonic: A Generative System for Real-Time Composition and Musical Improvisation

Olga Vechtomova and Gaurav Sahu

In Proceedings of the 12th International Conference on Artificial Intelligence in Music, Sound, Art and Design (EvoMusArt 2023)

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Deep Learning for Text Style Transfer: A Survey

Di Jin, Zhijing Jin, Zhiting Hu, Olga Vechtomova, Rada Mihalcea

Computational Linguistics, Volume 48, Issue 1 - March 2022

LyricJam: A system for generating lyrics for live instrumental music

Olga Vechtomova, Gaurav Sahu, Dhruv Kumar

In Proceedings of the 12th International Conference on Computational Creativity (ICCC 2021)

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Poetics of AI: Models for Stylized Text Generation

Olga Vechtomova

Keynote Speech at the 24th International Conference on Text, Speech and Dialog (TSD 2021)

Wasserstein Autoencoders with Mixture of Gaussian Priors

Amirpasha Ghabussi, Lili Mou, Olga Vechtomova

In Proceedings of the 24th International Conference on Text, Speech and Dialog (TSD 2021)

Towards A Multi-agent System for Online Hate Speech Detection

Gaurav Sahu, Robin Cohen, Olga Vechtomova

In Proceedings of the 2nd International Workshop on Autonomous Agents for Social Good (AASG), AAMAS, 2021

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Adaptive Fusion Techniques for Multimodal Data

Gaurav Sahu and Olga Vechtomova

In Proc. EACL 2021

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Polarized-VAE: Proximity Based Disentangled Representation Learning for Text Generation

Vikash Balasubramanian, Ivan Kobyzev, Hareesh Bahuleyan, Ilya Shapiro, Olga Vechtomova

In Proc. EACL 2021

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Generation of lyrics lines conditioned on audio clips

Olga Vechtomova, Gaurav Sahu, Dhruv Kumar

First Workshop on NLP for Music and Audio (NLP4MusA)

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Adversarial Learning on the Latent Space for Diverse Dialog Generation

Kashif Khan, Gaurav Sahu, Vikash Balasubramanian, Lili Mou, Olga Vechtomova

COLING 2020

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Stylized Text Generation: Approaches and Applications

Lili Mou, Olga Vechtomova

Tutorial. ACL 2020

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Discrete Optimization for Unsupervised Sentence Summarization with Word-Level Extraction

Raphael Schumann, Lili Mou, Yao Lu, Olga Vechtomova, Katja Markert

In Proc. ACL 2020

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Iterative Edit-Based Unsupervised Sentence Simplification

Dhruv Kumar, Lili Mou, Lukasz Golab, Olga Vechtomova

In Proc. ACL 2020

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Disentangled Representation Learning for Non-Parallel Text Style Transfer

John V., Mou L., Bahuleyan H., Vechtomova O.

In Proc. ACL 2019

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Generating Sentences from Disentangled Syntactic and Semantic Spaces

Yu Bao, Hao Zhou, Shujian Huang, Lei Li, Lili Mou, Olga Vechtomova, Xin-Yu Dai, Jiajun Chen

In Proc. ACL 2019

Stochastic Wasserstein Autoencoder for Probabilistic Sentence Generation

Bahuleyan H., Mou L., Zhou H., Vechtomova O.

In Proc. NAACL-HLT 2019

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Generating lyrics with variational autoencoder and multi-modal artist embeddings

Vechtomova O., Bahuleyan H., Ghabussi A., John V.

arXiv pre-print

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Variational Attention for Sequence-to-Sequence Models

Bahuleyan, H., Mou, L., Vechtomova, O., Poupart, P.

In Proc. COLING 2018

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