--- title: "Vladimir Braverman — author profile and papers in our library" description: "Vladimir Braverman, Johns Hopkins University: 3 papers on Elamur Research (2024–2026), h-index 18 — affiliations, topics, co-authors and…" canonical: "https://research.elamur.ai/free/en/authors/vladimir-braverman/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/authors/vladimir-braverman/) [home](https://md.research.elamur.ai/free/en/) / [authors](https://md.research.elamur.ai/free/en/authors/) / Vladimir Braverman # Vladimir Braverman Vladimir Braverman has 3 papers in our library, in 2024–2026, most of them on [Language models & pretraining](https://md.research.elamur.ai/free/en/topics/language-models/), [Reasoning](https://md.research.elamur.ai/free/en/topics/reasoning/), [Efficient models & compression](https://md.research.elamur.ai/free/en/topics/efficient-models/); often with [Shaochen Zhong](https://md.research.elamur.ai/free/en/authors/shaochen-zhong/), [Xia Hu](https://md.research.elamur.ai/free/en/authors/xia-hu/), [Guanchu Wang](https://md.research.elamur.ai/free/en/authors/guanchu-wang/). 3 papers in our library · 2024–2026 [OpenAlex](https://openalex.org/A5053736722) · [ORCID](https://orcid.org/0000-0001-7709-8753) · [Wikidata](https://www.wikidata.org/wiki/Q130864431) · [**h-index 18**](https://openalex.org/authors/A5053736722) · [124 works](https://openalex.org/works?filter=author.id:A5053736722) · [1,337 citations](https://openalex.org/works?filter=author.id:A5053736722&sort=cited_by_count:desc) OpenAlex, 2026-10-14 [📄 3 works in our library](https://md.research.elamur.ai/free/en/authors/vladimir-braverman/#papers) · [🔗 Cited 267 times in our library](https://md.research.elamur.ai/free/en/authors/vladimir-braverman/cited-by/) · [3 more in our library without a page yet](#also) · [⭐ Paper Stars ranking: #5886](https://md.research.elamur.ai/free/en/paper-stars/page/59/#star-5886) 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=Vladimir+Braverman) · [Semantic Scholar](https://www.semanticscholar.org/search?q=Vladimir+Braverman) · [dblp](https://dblp.org/search?q=Vladimir+Braverman) · [ACL Anthology](https://aclanthology.org/search/?q=Vladimir+Braverman) ## Affiliations [🎓**Johns Hopkins University** Baltimore · United States 2013–2026 · 90 papers*current*](https://md.research.elamur.ai/free/en/universities/johns-hopkins-university/) · [🎓**Rice University** Houston · United States 2022–2026 · 21 papers*current*](https://md.research.elamur.ai/free/en/universities/rice-university/) · [🎓**University of California, Los Angeles** Los Angeles · United States 2011–2021 · 3 papers](https://md.research.elamur.ai/free/en/universities/university-of-california-los-angeles/) From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 2 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 6 The field of science this work belongs to (OpenAlex fields).[Arts and Humanities · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/) · [Computer Science · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/) · [Artificial Intelligence · 3 works](https://md.research.elamur.ai/free/en/shelves/computer-science/artificial-intelligence/) · [Language and Linguistics · 3 works](https://md.research.elamur.ai/free/en/shelves/arts-and-humanities/language-and-linguistics/) · [Computer Vision and Pattern Recognition · 2 works](https://md.research.elamur.ai/free/en/shelves/computer-science/computer-vision-and-pattern-recognition/) · [Hardware and Architecture · 1 work](https://md.research.elamur.ai/free/en/shelves/computer-science/hardware-and-architecture/) 🧭 Topics 3 Research subjects and languages the work is about.[Efficient models & compression · 1 work](https://md.research.elamur.ai/free/en/topics/efficient-models/) · [Language models & pretraining · 2 works](https://md.research.elamur.ai/free/en/topics/language-models/) · [Reasoning · 1 work](https://md.research.elamur.ai/free/en/topics/reasoning/) ## Works by year ### 2020s [**2026** 2 papers](https://md.research.elamur.ai/free/en/authors/vladimir-braverman/year/2026/) · [**2024** 1 paper](https://md.research.elamur.ai/free/en/authors/vladimir-braverman/year/2024/) ## Papers The most cited first (OpenAlex and our library). 1. **[KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache](https://md.research.elamur.ai/free/en/papers/liu-2024-kivi-tuning-free-asymmetric-2bit/)** *(2024 · 244 citations)* Serving LLMs cheaply means batching many requests. With large batches and long contexts, though, the KV cache becomes the main memory and speed bottleneck: it can exceed the size of the model weights, and the GPU must read it in full for every generated token. The authors examine how values are distributed inside the… 2. **[FaithLM: Towards Faithful Explanations for Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2026-faithlm-faithful-explanations-large-language/)** *(2026 · 9 citations)* LLMs often explain their answers in natural language, but these explanations frequently do not reflect what actually drove the prediction. Classic fidelity tests, which delete important tokens, also fit poorly with free-text rationales whose content is semantic rather than token-level. 3. **[AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-autol2s-auto-long-short-reasoning/)** *(2026 · 7 citations)* Distilling reasoning from strong teacher LLMs into non-reasoning students often causes "overthinking": the students produce very long chain-of-thought (CoT) traces even for easy questions, which raises decoding time and cost. ## All works 6 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. [**KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache arXiv:2402.02750**Zirui Liu, Jiayi Yuan, Hongye Jin, et al.*2024 · 244 citations*](https://md.research.elamur.ai/free/en/papers/liu-2024-kivi-tuning-free-asymmetric-2bit/) 2. **[FetchSGD: Communication-Efficient Federated Learning with Sketching ↗](https://arxiv.org/abs/2007.07682) arXiv (Cornell University) · no summary yet**Daniel Rothchild et al.*2020 · 68 citations* 3. **[Communication-efficient distributed SGD with Sketching ↗](https://arxiv.org/abs/1903.04488) arXiv (Cornell University) · no summary yet**Nikita P. Ivkin et al.*2019 · 24 citations* 4. **[DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching ↗](https://arxiv.org/abs/1901.08200) arXiv (Cornell University) · no summary yet**Zaoxing Liu et al.*2019 · 21 citations* 5. **[FaithLM: Towards Faithful Explanations for Large Language Models](https://md.research.elamur.ai/free/en/papers/chuang-2026-faithlm-faithful-explanations-large-language/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.*2026 · 9 citations* 6. **[AutoL2S: Auto Long-Short Reasoning for Efficient Large Language Models](https://md.research.elamur.ai/free/en/papers/luo-2026-autol2s-auto-long-short-reasoning/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Feng Luo, Yu-Neng Chuang, Guanchu Wang, et al.*2026 · 7 citations* ## Co-authors here 12 of 17 co-authors with a page, the most papers together first. - [Shaochen Zhong](https://md.research.elamur.ai/free/en/authors/shaochen-zhong/) ×3 - [Xia Hu](https://md.research.elamur.ai/free/en/authors/xia-hu/) ×3 - [Guanchu Wang](https://md.research.elamur.ai/free/en/authors/guanchu-wang/) ×2 - [Jiayi Yuan](https://md.research.elamur.ai/free/en/authors/jiayi-yuan/) ×2 - [Yu-Neng Chuang](https://md.research.elamur.ai/free/en/authors/yu-neng-chuang/) ×2 - [Andrew Wen](https://md.research.elamur.ai/free/en/authors/andrew-wen/) - [Beidi Chen](https://md.research.elamur.ai/free/en/authors/beidi-chen/) - [Chia-Yuan Chang](https://md.research.elamur.ai/free/en/authors/chia-yuan-chang/) - [Fan Yang](https://md.research.elamur.ai/free/en/authors/fan-yang/) - [Hongye Jin](https://md.research.elamur.ai/free/en/authors/hongye-jin/) - [Hongyi Liu](https://md.research.elamur.ai/free/en/authors/hongyi-liu/) - [Mengnan Du](https://md.research.elamur.ai/free/en/authors/mengnan-du/) ## Venues Where their works here were published, the most works first, with the editions of those that have a page. - [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/): [EACL 2026](https://md.research.elamur.ai/free/en/venues/eacl/2026/) - [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/): [Findings of the Association for Computational Linguistics 2026](https://md.research.elamur.ai/free/en/venues/findings/2026/) ## Cited by Papers of our library cite their works 267 times (of the 149,439 papers whose bibliographies we read); [37 citing papers with a page here →](https://md.research.elamur.ai/free/en/authors/vladimir-braverman/cited-by/). Updated 30 October 2026