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People (3 results)

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Yulia Khalus

Computational Linguist · Grammarly

3 activities
Y

Yulia Pavlova

Director of Technical Innovation · Thomson Reuters

Y

Yulia R. Gel

author

Showing 5 results

Activities & events

Title & Speakers Event
Event How We Build High-Quality, User-Oriented LLM Features at Grammarly 2025-08-26
Users or experts? Navigating the trade-offs in LLM quality annotation 2025-08-26 · 19:00
Yulia Khalus – Computational Linguist @ Grammarly

In this talk, we will examine how LLM outputs are evaluated by potential end users versus professional linguist-annotators, as two ways of ensuring alignment with real-world user needs and expectations. We will compare the two approaches, highlight the advantages and recurring pitfalls of user-driven annotation, and share the mitigation techniques we have developed from our own experience.

llms linguistic annotation NLP user studies
Beyond generation: How to get high-quality text from LLMs 2025-08-26 · 16:30
Lera Lakusta – computational linguist @ Grammarly

How can we influence quality during the prompt creation stage, as well as how to work with already-generated text—improving it, identifying errors, and filtering out undesirable results. We'll explore linguistic approaches that help achieve better, more controlled outcomes from LLMs.

llms prompt engineering text quality linguistic approaches
Event Prompting for Production: Ensuring the Quality of LLM Outputs in Product Feature 2024-10-24
Fireside Chat "Evaluating quality in LLM models pre-production" with Guy Rom 2024-10-24 · 18:45
Guy Rom – NLP consultant, ex-ML Researcher at Google Research

Fireside chat on evaluating quality in LLM models pre-production.

llms NLP quality assurance
Prompting for Production: Ensuring the Quality of LLM Outputs in Product Features at Grammarly 2024-10-24 · 18:10
Yulia Khalus – Computational Linguist @ Grammarly

LLMs have unlocked new opportunities in NLP with their possible applications. Features that used to take months to be planned and developed now require a day to be prototyped. But how can we make sure that a successful prototype will turn into a high-quality feature useful for millions of customers? In this talk, we will explore real examples of the challenges that arise when ensuring the quality of LLM outputs and how we address them at Grammarly.

llms NLP quality assurance
The Depth and Breadth of Language Research and Engineering at Grammarly 2023-11-28 · 19:00
Lena Nahorna – Analytical Linguist @ Grammarly , Yulia Khalus – Computational Linguist @ Grammarly

This talk will help you understand the main responsibilities of analytical and computational linguists at the company, the types of tasks and projects they work on, and how they collaborate with the project teams. You will learn what kind of linguistic expertise is required for building AI-powered solutions at Grammarly.

AI/ML
The Depth and Breadth of Language Research and Engineering at Grammarly
Showing 5 results