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Veselin Stoyanov
Applied Research Leader excited about turning current powerful AI models into new products that enhance productivity and creativity. Strong track record of innovating in AI and NLP to solve real-world problems. Led teams to create industry-standard pretraining and large LM methods such as RoBERTa, XLM-R and MultiRay and apply them to improve products, e.g., reduce the prevalence of hate speech and bullying posts. Experienced in building and motivating high-performing diverse teams and mentoring researchers and engineers.
Experience
Tome AI
- Head of ML/AI
- Apr 2023 - current
- Leading efforts to develop new paradigms for AI-powered products in the productivity space.
Facebook / Meta Inc, Menlo Park, CA
- Applied Research Scientist Manager
- Jul 2018 - Nov 2022
- Research Scientist
- Jan 2013 - Jul 2018
Project Highlights
- MultiRay
Built a service to run multiple very large and accurate models on the same input, and share the majority of the computational costs. MultiRay makes it possible for very accurate self-supervised models to be run on every piece of content. (paper, blog) - Cross-lingual NLP through XLM-R
Trained XLM-R, a state-of-the-art large-scale multilingual language model (paper, blog) and applied it to extend Integrity classifiers to many languages (blog). Extended upon previous work on multilingual word embeddings (blog). - RoBERTa and applications to Integrity
Trained RoBERTa, a robustly optimized BERT pretraining approach, a state-of-the-art self-supervised method (paper, blog, blog). Applied it to identifying violations such as hate speech (blog) and bullying. (paper, blog) - Neural Machine Translation
Shipped the first large-scale commercial Neural MT system with big improvements to translation quality. (blog, news) - NLP for Search
Shipped several impactful NLP features to Facebook Search including phonetic name search, intent classification and keyword typeahead.
Center for Language and Speech Processing (CLSP), Johns Hopkins University
- Assistant Research Scientist
- Oct 2010 - Jan 2013
- Computing Innovation Fellowship (awarded by CRA).
- Performed research on Machine Learning for Structured Prediction.
Education
Cornell University
- PhD in Computer Science
- Aug 2010
- MSc in Computer Science
- Aug 2006
Advisor: Prof. Claire Cardie. Thesis title: Opinion Summarization: Automatically Creating Useful Representations of Opinions Expressed in Text.
University of Delaware
- Honors BSc, with Distinction in Computer Science
- May 2002
Graduated Summa Cum Laude; GPA: 4.00/4.00. Minors in Mathematics and Cognitive Science.
Selected Publications
Full publication list available on Google Scholar
- RoBERTa: A Robustly Optimized BERT Pretraining Approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, Veselin Stoyanov - BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Veselin Stoyanov, Luke Zettlemoyer - Unsupervised Cross-lingual Representation Learning at Scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, Veselin Stoyanov - XNLI: Evaluating Cross-lingual Sentence Representations
Alexis Conneau, Guillaume Lample, Ruty Rinott, Adina Williams, Samuel R Bowman, Holger Schwenk, Veselin Stoyanov - Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning
Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov - Emerging Cross-lingual Structure in Pretrained Language Models
Alexis Conneau, Shijie Wu, Haoran Li, Luke Zettlemoyer, Veselin Stoyanov - Pretrained Encyclopedia: Weakly supervised knowledge-pretrained language model
Wenhan Xiong, Jingfei Du, William Wang, Veselin Stoyanov - Preserving integrity in online social networks
Alon Halevy, Cristian Canton-Ferrer, Hao Ma, Umut Ozertem, Patrick Pantel, Marzieh Saeidi, Fabrizio Silvestri, Veselin Stoyanov - Empirical risk minimization of graphical model parameters given approximate inference, decoding, and model structure
Veselin Stoyanov, Alexander Ropson, Jason Eisner - Conundrums in noun phrase coreference resolution: Making sense of the state-of-the-art
Veselin Stoyanov, Nathan Gilbert, Claire Cardie, Ellen Riloff
Full publication list available on Google Scholar
Personal
Outside of work I am an avid runner. I enjoy cooking and all things cullinary and traveling. I love learning languages and can speak Bulgarian, English, Spanish, some Russian, Serbian, Croatian and Japanese.
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