Elamur Research⌕
☰
home / authors / Pavlo Molchanov

Pavlo Molchanov

Pavlo Molchanov has 3 papers in our library, in 2023–2026, most of them on Language models & pretraining, Evaluation & benchmarks, Vision & language; often with Peter Belcak, Shizhe Diao, Yonggan Fu.

3 papers in our library · 2023–2026

OpenAlex · h-index 34 · 182 works · 8,722 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 599 times in our library · 12 more in our library without a page yet · ⭐ Paper Stars ranking: #4385

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🏢NvidiaSanta Clara · United States2015–2026 · 59 paperscurrent🏢NvidiaReading · United Kingdom2016–2026 · 42 paperscurrent🎓University of OttawaOttawa · Canada2026 · 2 paperscurrent🎓Vinnytsia National Technical UniversityVinnytsia · Ukraine2000–2004 · 7 papers🎓National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”Kyiv · Ukraine2005–2006 · 5 papers🏢AMPACNorth Wales · United States2006–2013 · 4 papers🎓Georgia Institute of TechnologyAtlanta · United States2024–2025 · 2 papers🎓National Technical University "Kharkiv Polytechnic Institute"Kharkiv · Ukraine2006 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 6 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 3 worksComputer Science · 3 worksArtificial Intelligence · 3 worksLanguage and Linguistics · 3 worksComputer Vision and Pattern Recognition · 2 works

🧭 Topics 3Research subjects and languages the work is about.Language models & pretraining · 2 worksVision & language · 1 workEvaluation & benchmarks · 1 work

 Works by year

2020s

20261 paper20251 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. VILA: On Pre-training for Visual Language Models (2023 · 381 citations)
    Most work on visual language models (VLMs) has focused on instruction tuning. The pre-training stage, where an LLM first learns to handle images and text together, has received far less systematic study. This paper addresses that gap. Starting from Llama-2, the authors build auto-regressive VLMs, in which image…
  2. Small Language Models are the Future of Agentic AI (2025 · 92 citations)
    This position paper from NVIDIA Research and Georgia Tech challenges a common industry practice: sending every request an AI agent makes to one large, general-purpose LLM hosted in the cloud.
  3. PROBE: PROcess-Based BEnchmark for Hallucination Detection (2026)
    LLM-as-a-judge setups usually ask a model for a single verdict on whether an output stays faithful to its source.

All works

15 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

  1. Importance Estimation for Neural Network Pruning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPavlo A. Molchanov et al.2019 · 1,023 citations
  2. Online Detection and Classification of Dynamic Hand Gestures with Recurrent 3D Convolutional Neural Networks ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetPavlo A. Molchanov et al.2016 · 697 citations
  3. VILA: On Pre-training for Visual Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionJi Lin, Hongxu Yin, Wei Ping, et al.2023 · 381 citations
  4. A-ViT: Adaptive Tokens for Efficient Vision Transformer ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetHongxu Yin et al.2022 · 361 citations
  5. Few-Shot Adaptive Gaze Estimation ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetSeonwook Park et al.2019 · 218 citations
  6. Multilayer and Multimodal Fusion of Deep Neural Networks for Video Classification ↗ACM International Conference on Multimedia (ACM MM) · no summary yetXiaodong Yang, Pavlo A. Molchanov, Jan Kautz2016 · 116 citations
  7. Small Language Models are the Future of Agentic AIarXiv:2506.02153Peter Belcak, Greg Heinrich, Shizhe Diao, et al.2025 · 92 citations
  8. NVILA: Efficient Frontier Visual Language Models ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetZhijian Liu et al.2025 · 73 citations
  9. When to Prune? A Policy towards Early Structural Pruning ↗arXiv:2110.12007 · no summary yetMaying Shen et al.2021 · 54 citations
  10. LongVILA: Scaling Long-Context Visual Language Models for Long Videos ↗arXiv:2408.10188 · no summary yetYukang Chen et al.2024 · 49 citations
  11. Entropy-Regularized Process Reward Model ↗arXiv:2412.11006 · no summary yetHanning Zhang et al.2024 · 17 citations
  12. Puzzle: Distillation-Based NAS for Inference-Optimized LLMs ↗arXiv:2411.19146 · no summary yetAkhiad Bercovich et al.2024 · 10 citations
  13. Scaling Vision Pre-Training to 4K Resolution ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetBaifeng Shi et al.2025 · 7 citations
  14. Attend Before Attention: Efficient and Scalable Video Understanding via Autoregressive Gazing ↗arXiv (Cornell University) · no summary yetBaifeng Shi et al.2026 · 1 citation
  15. PROBE: PROcess-Based BEnchmark for Hallucination DetectionFindings of the Association for Computational LinguisticsYu Zhang, Peter Belcak, Shizhe Diao, et al.2026

 Co-authors here

12 of 16 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 599 times (of the 149,439 papers whose bibliographies we read); 105 citing papers with a page here →.

Updated

↑ back to top

This page in Markdown → https://md.research.elamur.ai/free/en/authors/pavlo-molchanov/