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Alexander Bukharin

Alexander Bukharin has 2 papers in our library, in 2023–2024; often with Daniel Egert, Gerald Shen, Jiaqi Zeng.

2 papers in our library · 2023–2024

OpenAlex · ORCID · h-index 6 · 26 works · 136 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 346 times in our library · 1 more in our library without a page yet · ⭐ Paper Stars ranking: #6381

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

🎓Georgia Institute of TechnologyAtlanta · United States2022–2025 · 6 papers

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 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works

 Works by year

2020s

20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (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 (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-TuningarXiv:2303.10512Qingru Zhang, Minshuo Chen, Alexander Bukharin, et al.2023 · 173 citations
  2. HelpSteer2-Preference: Complementing Ratings with PreferencesarXiv:2410.01257Zhilin Wang, Alexander Bukharin, Olivier Delalleau, et al.2024 · 57 citations
  3. Before They Can Solve: Predicting Post-Training Coding-Agent Performance from Base Models ↗arXiv (Cornell University) · no summary yetTan Yu et al.2026

 Co-authors here

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

 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 →.

Updated

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