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Pengfei Li

Pengfei Li has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Deyu Zhou, Irina Piontkovskaya, Jialong Wu.

2 papers in our library · 2023–2026

OpenAlex · ORCID · h-index 18 · 77 works · 1,296 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 32 times in our library · ⭐ Paper Stars ranking: #8110

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

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 19 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. PanGu-{\Sigma}: Towards Trillion Parameter Language Model with Sparse Heterogeneous Computing (2023 · 40 citations)
    PanGu-Σ is a Huawei technical report on training a trillion-parameter language model on limited hardware. Sparse Mixture-of-Experts models usually suffer from unbalanced expert load and costly all-to-all communication, and offloading work to the host CPU tends to reduce throughput. The authors start from PanGu-α…
  2. Benchmarking Temporal Reasoning and Alignment Across Chinese Dynasties (2026)
    Existing temporal reasoning benchmarks for LLMs are mostly English and rule-generated. They offer little narrative context and test few entities at a time. The authors address this with Chinese Time Reasoning (CTM), a Chinese-language benchmark based on dynastic chronology from roughly 2100 BCE to 1912. It draws on a…

 Co-authors here

7 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 32 times (of the 149,439 papers whose bibliographies we read); 9 citing papers with a page here →.

Updated

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