---
title: "Vladislav Lialin — author profile and papers — Elamur Research"
description: "Vladislav Lialin: 2 papers on Elamur Research (2023), h-index 4 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/vladislav-lialin/"
---
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# Vladislav Lialin

Vladislav Lialin has 2 papers in our library, in 2023; often with [Anna Rumshisky](https://md.research.elamur.ai/free/en/authors/anna-rumshisky/).

2 papers in our library · 2023

[OpenAlex](https://openalex.org/A5026934685) · [**h-index 4**](https://openalex.org/authors/A5026934685) · [29 works](https://openalex.org/works?filter=author.id:A5026934685) · [111 citations](https://openalex.org/works?filter=author.id:A5026934685&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/vladislav-lialin/#papers) · [🔗 Cited 125 times in our library](https://md.research.elamur.ai/free/en/authors/vladislav-lialin/cited-by/) · [⭐ Paper Stars ranking: #4639](https://md.research.elamur.ai/free/en/paper-stars/page/47/#star-4639)

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

Elsewhere: [Google Scholar](https://scholar.google.com/citations?view_op=search_authors&mauthors=Vladislav+Lialin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Vladislav+Lialin) · [dblp](https://dblp.org/search?q=Vladislav+Lialin) · [ACL Anthology](https://aclanthology.org/search/?q=Vladislav+Lialin)

## Affiliations

[🎓**University of Massachusetts Lowell** Lowell · United States 2019–2024 · 14 papers](https://md.research.elamur.ai/free/en/universities/university-of-massachusetts-lowell/)

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.

📚 Shelves 5 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

[**2023** 2 papers Vladislav Lialin's papers of 2023](https://md.research.elamur.ai/free/en/authors/vladislav-lialin/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning](https://md.research.elamur.ai/free/en/papers/lialin-2023-scaling-down-scale-up-guide/)** *(2023 · 128 citations)* Language models have grown far faster than single-GPU memory, so full fine-tuning of multibillion-parameter models is out of reach for most practitioners.
2. **[ReLoRA: High-Rank Training Through Low-Rank Updates](https://md.research.elamur.ai/free/en/papers/lialin-2023-relora-high-rank-training-through/)** *(2023 · 74 citations)* Pre-training large language models requires a great deal of memory and compute. Parameter-efficient fine-tuning methods such as LoRA cut these costs, but on their own they cannot pre-train a model well, because each LoRA adapter can only make a low-rank change. ReLoRA addresses this by repeatedly merging the LoRA…

## Co-authors here

1 co-author with a page, the most papers together first.

- [Anna Rumshisky](https://md.research.elamur.ai/free/en/authors/anna-rumshisky/) ×2

## Cited by

Papers of our library cite their works 125 times (of the 141,840 papers whose bibliographies we read); [6 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/vladislav-lialin/cited-by/).

Updated 24 October 2026
