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.
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
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📚 Shelves 5The 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 works
🧭 Topics 3Research subjects and languages the work is about.Evaluation & benchmarks · 1 workEfficient models & compression · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- 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… - 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…
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