---
title: "Alexander Bukharin — author profile and papers in our library"
description: "Alexander Bukharin: 2 papers on Elamur Research (2023–2024), h-index 6 — affiliations, topics, co-authors and who cites them in our library."
canonical: "https://research.elamur.ai/free/en/authors/alexander-bukharin/"
---
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# Alexander Bukharin

Alexander Bukharin has 2 papers in our library, in 2023–2024; often with [Daniel Egert](https://md.research.elamur.ai/free/en/authors/daniel-egert/), [Gerald Shen](https://md.research.elamur.ai/free/en/authors/gerald-shen/), [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/).

2 papers in our library · 2023–2024

[OpenAlex](https://openalex.org/A5053672689) · [ORCID](https://orcid.org/0000-0003-2913-5112) · [**h-index 6**](https://openalex.org/authors/A5053672689) · [26 works](https://openalex.org/works?filter=author.id:A5053672689) · [136 citations](https://openalex.org/works?filter=author.id:A5053672689&sort=cited_by_count:desc) OpenAlex, 2026-10-14

[📄 2 works in our library](https://md.research.elamur.ai/free/en/authors/alexander-bukharin/#papers) · [🔗 Cited 346 times in our library](https://md.research.elamur.ai/free/en/authors/alexander-bukharin/cited-by/) · [1 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #6381](https://md.research.elamur.ai/free/en/paper-stars/page/64/#star-6381)

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=Alexander+Bukharin) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Alexander+Bukharin) · [dblp](https://dblp.org/search?q=Alexander+Bukharin) · [ACL Anthology](https://aclanthology.org/search/?q=Alexander+Bukharin)

## Affiliations

[🎓**Georgia Institute of Technology** Atlanta · United States 2022–2025 · 6 papers](https://md.research.elamur.ai/free/en/universities/georgia-institute-of-technology/)

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 4 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 4 The field of science this work belongs to (OpenAlex fields).[Artificial Intelligence · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [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/) · [Language and Linguistics · 2 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/)

## Works by year

### 2020s

[**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/alexander-bukharin/year/2024/) · [**2023** 1 paper](https://md.research.elamur.ai/free/en/authors/alexander-bukharin/year/2023/)

## Papers

The most cited first (OpenAlex and our library).

1. **[AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning](https://md.research.elamur.ai/free/en/papers/zhang-2023-adalora-adaptive-budget-allocation-parameter/)** *(2023 · 173 citations)* LoRA fine-tunes large pre-trained language models by adding low-rank updates to frozen weights. However, it gives every weight matrix the same rank, even though matrices differ in how much they matter. The authors show this with DeBERTaV3-base on MNLI: FFN matrices and upper layers benefit more from trainable…
2. **[HelpSteer2-Preference: Complementing Ratings with Preferences](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer2-preference-complementing-ratings-preferences/)** *(2024 · 57 citations)* Reward models for RLHF are usually trained in one of two ways: Bradley-Terry models learn from pairwise preferences, and regression models predict per-response ratings.

## All works

3 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. [**AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning arXiv:2303.10512**Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.*2023 · 173 citations*](https://md.research.elamur.ai/free/en/papers/zhang-2023-adalora-adaptive-budget-allocation-parameter/)
2. [**HelpSteer2-Preference: Complementing Ratings with Preferences arXiv:2410.01257**Zhilin Wang, Alexander Bukharin, Olivier Delalleau, et al.*2024 · 57 citations*](https://md.research.elamur.ai/free/en/papers/wang-2024-helpsteer2-preference-complementing-ratings-preferences/)
3. **[Before They Can Solve: Predicting Post-Training Coding-Agent Performance from Base Models ↗](https://arxiv.org/abs/2610.10478) arXiv (Cornell University) · no summary yet**Tan Yu et al.*2026*

## Co-authors here

11 co-authors with a page, the most papers together first.

- [Daniel Egert](https://md.research.elamur.ai/free/en/authors/daniel-egert/)
- [Gerald Shen](https://md.research.elamur.ai/free/en/authors/gerald-shen/)
- [Jiaqi Zeng](https://md.research.elamur.ai/free/en/authors/jiaqi-zeng/)
- [Oleksii Kuchaiev](https://md.research.elamur.ai/free/en/authors/oleksii-kuchaiev/)
- [Olivier Delalleau](https://md.research.elamur.ai/free/en/authors/olivier-delalleau/)
- [Pengcheng He](https://md.research.elamur.ai/free/en/authors/pengcheng-he/)
- [Tuo Zhao](https://md.research.elamur.ai/free/en/authors/tuo-zhao/)
- [Weizhu Chen](https://md.research.elamur.ai/free/en/authors/weizhu-chen/)
- [Yi Dong](https://md.research.elamur.ai/free/en/authors/yi-dong/)
- [Yu Cheng](https://md.research.elamur.ai/free/en/authors/yu-cheng/)
- [Zhilin Wang](https://md.research.elamur.ai/free/en/authors/zhilin-wang/)

## Cited by

Papers of our library cite their works 346 times (of the 149,439 papers whose bibliographies we read); [91 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/alexander-bukharin/cited-by/).

Updated 3 November 2026
