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researcher

I. Skarbovsky

7 papers hereh-index 9241 citations31 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author4
  • last author3

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • cs.AI6
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20172025
most citedHow well can a large language model explain business processes as perceived by users?

30 citations · 39 across the 7 of their papers we have counts for

collaborators
Showing 2024Show all

3 papers · 1 filter

cs.AI2024★ 1 cited

Monetizing Currency Pair Sentiments through LLM Explainability

Lior Limonad, Fabiana Fournier, Juan Manuel Vera Díaz +3

Large language models (LLMs) play a vital role in almost every domain in today's organizations. In the context of this work, we highlight the use of LLMs for sentiment analysis (SA…

cs.AI2024

Towards a Benchmark for Causal Business Process Reasoning with LLMs

Fabiana Fournier, Lior Limonad, Inna Skarbovsky

Large Language Models (LLMs) are increasingly used for boosting organizational efficiency and automating tasks. While not originally designed for complex cognitive processes, recen…

cs.AI2024★ 30 cited

How well can a large language model explain business processes as perceived by users?

Dirk Fahland, Fabiana Fournier, Lior Limonad +2

Large Language Models (LLMs) are trained on a vast amount of text to interpret and generate human-like textual content. They are becoming a vital vehicle in realizing the vision of…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.