Siming Chen
Siming Chen has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Efficient models & compression; often with Can Zu, Jie Zhou, Junjie Ye.
OpenAlex · ORCID · Wikidata · h-index 27 · 163 works · 2,546 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 103 times in our library · ⭐ Paper Stars ranking: #5694
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Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksEfficient models & compression · 1 work
Works by year
2020s
Papers
- A Comprehensive Capability Analysis of GPT-3 and GPT-3.5 Series Models (2023 · 283 citations)
Earlier studies of OpenAI's GPT models mostly compared one model against fine-tuned systems. This paper instead follows how NLU capabilities change across the lineage from GPT-3 to GPT-3.5, and how each training step affects them. The authors test six models: davinci, text-davinci-001, code-davinci-002… - HCSpec: Two-Tier Horizontal Cascade Speculative Decoding for High-Efficiency Large Language Model Inference (2026)
Speculative decoding makes LLM inference faster: a small drafter guesses several upcoming tokens, and the large target model checks them all in one parallel pass.
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