🧑‍🔬 Vladimir Braverman

🏛️ Affiliations

🎓Johns Hopkins UniversityBaltimore · United States2013–2026 · 90 paperscurrent🎓Rice UniversityHouston · United States2022–2026 · 21 paperscurrent🎓University of California, Los AngelesLos Angeles · United States2011–2021 · 3 papers

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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache (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 (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 (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 CachearXiv:2402.02750Zirui Liu, Jiayi Yuan, Hongye Jin, et al.2024 · 244 citations
2. FetchSGD: Communication-Efficient Federated Learning with Sketching ↗arXiv (Cornell University) · no summary yetDaniel Rothchild et al.2020 · 68 citations
3. Communication-efficient distributed SGD with Sketching ↗arXiv (Cornell University) · no summary yetNikita P. Ivkin et al.2019 · 24 citations
4. DistCache: Provable Load Balancing for Large-Scale Storage Systems with Distributed Caching ↗arXiv (Cornell University) · no summary yetZaoxing Liu et al.2019 · 21 citations
5. FaithLM: Towards Faithful Explanations for Large Language ModelsConference of the European Chapter of the Association for Computational Linguistics (EACL)Yu-Neng Chuang, Guanchu Wang, Chia-Yuan Chang, et al.2026 · 9 citations
6. AutoL2S: Auto Long-Short Reasoning for Efficient Large Language ModelsFindings of the Association for Computational LinguisticsFeng 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 ×3
• Xia Hu ×3
• Guanchu Wang ×2
• Jiayi Yuan ×2
• Yu-Neng Chuang ×2
• Andrew Wen
• Beidi Chen
• Chia-Yuan Chang
• Fan Yang
• Hongye Jin
• Hongyi Liu
• 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): EACL 2026
• Findings of the Association for Computational Linguistics: Findings of the Association for Computational Linguistics 2026

🔗 Cited by

Papers of our library cite their works 267 times (of the 149,439 papers whose bibliographies we read); 33 citing papers with a page here →.

Updated 30 October 2026

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