◍wovepaper
SearchResearchersInstitutions
Sign in
researcher

Maksym Zhuravinskyi

3 papers hereh-index 6448 citations8 works total

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

author position
  • middle author3

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CL2
  • cs.CV1
same name
  • Maksym Zhuravinskyi — 3 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedArabic Stable LM: Adapting Stable LM 2 1.6B to Arabic

1 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CV2025

Stable Cinemetrics : Structured Taxonomy and Evaluation for Professional Video Generation

Agneet Chatterjee, Rahim Entezari, Maksym Zhuravinskyi +6

Recent advances in video generation have enabled high-fidelity video synthesis from user provided prompts. However, existing models and benchmarks fail to capture the complexity an…

cs.CL2024★ 1 cited

Arabic Stable LM: Adapting Stable LM 2 1.6B to Arabic

Zaid Alyafeai, Michael Pieler, Hannah Teufel +8

Large Language Models (LLMs) have shown impressive results in multiple domains of natural language processing (NLP) but are mainly focused on the English language. Recently, more L…

cs.CL2024★ 1 cited

Rephrasing natural text data with different languages and quality levels for Large Language Model pre-training

Michael Pieler, Marco Bellagente, Hannah Teufel +9

Recently published work on rephrasing natural text data for pre-training LLMs has shown promising results when combining the original dataset with the synthetically rephrased data.…

◍wovepaper

Papers, researchers and institutions, woven together.

Explore
  • Search
  • Researchers
  • Institutions
Account
  • Library
  • Chat
Data
  • arXiv.org
  • Semantic Scholar
  • OpenAlex
  • Latest RSS
AboutContactPrivacyDevelopersllms.txtopenapi.json
Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.