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Pengle Zhang

Pengle Zhang has 2 papers in our library, in 2024, most of them on Language models & pretraining; often with Chaojun Xiao, Guangxuan Xiao, Haofeng Huang.

2 papers in our library · 2024

OpenAlex · h-index 7 · 29 works · 188 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 185 times in our library · ⭐ Paper Stars ranking: #6469

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

🎓Shanghai Jiao Tong UniversityShanghai · China2025–2026 · 3 paperscurrent🎓Wuhan Textile UniversityWuhan · China2024–2026 · 3 paperscurrent🎓National University of Defense TechnologyChangsha · China2014–2016 · 6 papers🎓Tsinghua UniversityBeijing · China2023–2025 · 3 papers🎓Taiyuan University of TechnologyTaiyuan · China2016–2021 · 3 papers🔬PLA Academy of Military ScienceBeijing · China2017–2018 · 2 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 6The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 worksHardware and Architecture · 1 work

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

 Works by year

2020s

20242 papers

 Papers

The most cited first (OpenAlex and our library).

  1. InfLLM: Training-Free Long-Context Extrapolation for LLMs with an Efficient Context Memory (2024 · 126 citations)
    LLMs pre-trained on windows of only a few thousand tokens break down on much longer inputs. Unseen positions push them out of distribution, and large amounts of irrelevant context distract attention. The usual fix, continued pre-training on long sequences, is expensive and can hurt short-context skills. InfLLM avoids…
  2. SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration (2024 · 74 citations)
    At long sequence lengths, attention's quadratic cost makes it the dominant source of latency in transformers.

 Co-authors here

9 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 185 times (of the 149,439 papers whose bibliographies we read); 26 citing papers with a page here →.

Updated

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