Shengnan An
Shengnan An has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining; often with Jian-Guang Lou, Nanning Zheng, Zeqi Lin.
OpenAlex · ORCID · Wikidata · h-index 5 · 11 works · 104 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 105 times in our library · ⭐ Paper Stars ranking: #6953
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Fields, topics and concepts
📚 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 1Research subjects and languages the work is about.Language models & pretraining · 2 works
Works by year
2020s
Papers
- Make Your LLM Fully Utilize the Context (2024 · 97 citations)
Long-context LLMs can accept tens of thousands of tokens, yet they often miss facts located in the middle of the input. - Learning From Mistakes Makes LLM Better Reasoner (2023 · 64 citations)
Open-source LLMs such as LLaMA-2 still lag behind proprietary systems on multi-step math reasoning. They are usually improved by fine-tuning on question–rationale pairs (CoT data). This paper proposes LEMA (LEarning from MistAkes), which borrows the way students learn from their own errors. Several LLaMA and GPT…
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