Papers by Anton Voronov

2 papers
Mind Your Format: Towards Consistent Evaluation of In-Context Learning Improvements (2024.findings-acl)

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Challenge: Large language models demonstrate remarkable ability for learning to solve new tasks from a few examples.
Approach: They propose to use templates to aggregate model predictions across multiple templates to improve model performance.
Outcome: The proposed model ensembles boost model predictions while being robust to the choice of random set of templates.
Text Detoxification using Large Pre-trained Neural Models (2021.emnlp-main)

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Challenge: Existing studies on text detoxification cast this task as style transfer . text detox requires better preservation of the original meaning, authors argue .
Approach: They propose two unsupervised methods for eliminating toxicity in text . they use a paraphraser guided by style-trained language models to keep the text content .
Outcome: The proposed methods yield new SOTA results.

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