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Leonid Karlinsky

Leonid Karlinsky has 2 papers in our library, in 2024–2025, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Eli Schwartz, Leshem Choshen.

2 papers in our library · 2024–2025

OpenAlex · ORCID · Wikidata · h-index 30 · 125 works · 3,496 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 165 times in our library · 19 more in our library without a page yet · ⭐ Paper Stars ranking: #9767

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

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

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. NumeroLogic: Number Encoding for Enhanced LLMs' Numerical Reasoning (2024 · 26 citations)
    Causal LLMs read numbers left to right, so a digit's place value only becomes clear once the whole number has been seen.
  2. REAL-MM-RAG: A Real-World Multi-Modal Retrieval Benchmark (2025 · 22 citations)
    Existing benchmarks for multi-modal document retrieval in RAG do not reflect how retrieval works in practice.

All works

21 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. RepMet: Representative-Based Metric Learning for Classification and Few-Shot Object Detection ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLeonid Karlinsky et al.2019 · 387 citations
  2. CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJames Seale Smith et al.2023 · 352 citations
  3. LaSO: Label-Set Operations Networks for Multi-Label Few-Shot Learning ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetAmit Alfassy et al.2019 · 125 citations
  4. Multitask Prompt Tuning Enables Parameter-Efficient Transfer Learning ↗arXiv (Cornell University) · no summary yetZhen Wang et al.2023 · 77 citations
  5. Fine-Grained Recognition of Thousands of Object Categories with Single-Example Training ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetLeonid Karlinsky et al.2017 · 72 citations
  6. Incorporating Structured Representations into Pretrained Vision & Language Models Using Scene Graphs ↗Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing · no summary yetRoei Herzig et al.2023 · 31 citations
  7. Learning to Grow Pretrained Models for Efficient Transformer Training ↗arXiv (Cornell University) · no summary yetPeihao Wang et al.2023 · 28 citations
  8. ConStruct-VL: Data-Free Continual Structured VL Concepts Learning* ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetJames Seale Smith et al.2023 · 18 citations
  9. Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning ↗neural information processing systems · no summary yetBrandon Huang et al.2024 · 17 citations
  10. Bringing Image Scene Structure to Video via Frame-Clip Consistency of Object Tokens ↗arXiv (Cornell University) · no summary yetElad Ben Avraham et al.2022 · 16 citations
  11. PromptonomyViT: Multi-Task Prompt Learning Improves Video Transformers using Synthetic Scene Data ↗IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) · no summary yetRoei Herzig et al.2022 · 10 citations
  12. ConMe: Rethinking Evaluation of Compositional Reasoning for Modern VLMs ↗neural information processing systems · no summary yetIrene Huang et al.2024 · 6 citations
  13. Enhancing Few-Shot Vision-Language Classification With Large Multimodal Model Features ↗IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yetChancharik Mitra et al.2025 · 5 citations
  14. Navigating the Labyrinth: Evaluating LLMs' Ability to Reason About Search Problems ↗arXiv (Cornell University) · no summary yetNasim Borazjanizadeh et al.2024 · 5 citations
  15. Activation Reward Models for Few-Shot Model Alignment ↗Findings of the Association for Computational Linguistics: ACL 2026 · no summary yetTianning Chai et al.2026 · 2 citations
  16. Visualizing Thought: Conceptual Diagrams Enable Robust Planning in LMMs ↗arXiv (Cornell University) · no summary yetNasim Borazjanizadeh et al.2025 · 1 citation
  17. Latent Implicit Visual Reasoning ↗arXiv (Cornell University) · no summary yetKelvin Zhenghao Li et al.2025 · 1 citation
  18. Structured Video Tokens @ Ego4D PNR Temporal Localization Challenge 2022 ↗arXiv (Cornell University) · no summary yetElad Ben Avraham et al.2022 · 1 citation
  19. Discriminative World Models for Web Agents ↗arXiv (Cornell University) · no summary yetKelvin Li et al.2026

 Co-authors here

2 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 165 times (of the 149,439 papers whose bibliographies we read); 31 citing papers with a page here →.

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