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Shiyao Li

Shiyao Li has 2 papers in our library, in 2024, most of them on Language models & pretraining, Evaluation & benchmarks, Efficient models & compression; often with Guohao Dai, Shengen Yan, Xuefei Ning.

2 papers in our library · 2024

OpenAlex · ORCID · Wikidata · h-index 31 · 128 works · 2,781 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 128 times in our library · ⭐ Paper Stars ranking: #7049

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. 43 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. A Survey on Efficient Inference for Large Language Models (2024 · 113 citations)
    Running large language models is expensive. They need a lot of computation, memory traffic and storage, which raises latency, lowers throughput and makes deployment difficult on edge devices and costly in the cloud. This survey, by authors from Tsinghua University, Shanghai Jiaotong University and Infinigence-AI…
  2. LV-Eval: A Balanced Long-Context Benchmark with 5 Length Levels Up to 256K (2024 · 41 citations)
    Long-context LLMs now advertise input windows of 128k–256k tokens or more. Popular evaluation suites, however, average only about 5k–21k words. They often reuse unmodified public texts that models may have memorized, and they score answers with brittle n-gram metrics. LV-Eval addresses these gaps with a bilingual…

 Co-authors here

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

 Cited by

Papers of our library cite their works 128 times (of the 149,439 papers whose bibliographies we read); 29 citing papers with a page here →.

Updated

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