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Baris Kasikci

Baris Kasikci has 3 papers in our library, in 2023–2025, most of them on Language models & pretraining, Efficient models & compression; often with Arvind Krishnamurthy, Kan Zhu, Lequn Chen.

3 papers in our library · 2023–2025

OpenAlex · ORCID · Wikidata · h-index 23 · 122 works · 2,205 citations OpenAlex, 2026-10-14

📄 3 works in our library · 🔗 Cited 527 times in our library · 4 more in our library without a page yet · ⭐ Paper Stars ranking: #4091

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

🎓University of WashingtonSeattle · United States2023–2026 · 34 papersEmployment since 2023 · Associate Professor, Paul G. Allen School of Computer Science & Engineeringcurrent🎓University of MichiganAnn Arbor · United States2017–2023 · 47 papersEducation 2017–2023 · Electrical Engineering and Computer Science🎓École Polytechnique Fédérale de LausanneLausanne · Switzerland2012–2015 · 10 papers🏢GoogleMountain View · United States2024–2025 · 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.

📚 Shelves 9The field of science this work belongs to (OpenAlex fields).Computer Science · 3 worksArts and Humanities · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 2 worksEngineering · 1 workHardware and Architecture · 1 workComputational Theory and Mathematics · 1 workElectrical and Electronic Engineering · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 3 worksEfficient models & compression · 1 work

 Works by year

2020s

20251 paper20241 paper20231 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Quest: Query-Aware Sparsity for Efficient Long-Context LLM Inference (2024 · 203 citations)
    Generating text with very long contexts is slow because every new token requires reading the full KV cache from memory.
  2. FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving (2025 · 177 citations)
    FlashInfer is an attention engine for LLM inference serving. It targets two problems: serving workloads keep changing, and attention variants and GPU architectures differ widely. Today each serving system ships its own narrow attention kernels, which is costly to maintain. FlashInfer replaces them with one…
  3. Atom: Low-bit Quantization for Efficient and Accurate LLM Serving (2023 · 156 citations)
    LLM serving relies on batching to keep GPUs busy, and quantization can further reduce memory use and compute cost.

All works

7 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. Quest: Query-Aware Sparsity for Efficient Long-Context LLM InferencearXiv:2406.10774Jiaming Tang, Yilong Zhao, Kan Zhu, et al.2024 · 203 citations
  2. FlashInfer: Efficient and Customizable Attention Engine for LLM Inference ServingMLSys 2025Zihao Ye, Lequn Chen, Ruihang Lai, et al.2025 · 177 citations
  3. Atom: Low-bit Quantization for Efficient and Accurate LLM ServingMLSys 2024Yilong Zhao, Chien-Yu Lin, Kan Zhu, et al.2023 · 156 citations
  4. BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching ↗arXiv (Cornell University) · no summary yetYilong Zhao et al.2024 · 16 citations
  5. BlendServe: Optimizing Offline Inference with Resource-Aware Batching ↗ACM International Conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS) · no summary yetYilong Zhao et al.2026 · 2 citations
  6. Accelerating Large-Scale Reasoning Model Inference with Sparse Self-Speculative Decoding ↗arXiv:2512.01278 · no summary yetYilong Zhao et al.2025 · 2 citations
  7. M*: A Modular, Extensible, Serving System for Multimodal Models ↗arXiv (Cornell University) · no summary yetAtindra Jha et al.2026

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 527 times (of the 149,439 papers whose bibliographies we read); 47 citing papers with a page here →.

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