Zeyu Han
Zeyu Han has 2 papers in our library, in 2023–2024, most of them on Language models & pretraining, Efficient models & compression; often with Binfeng Xu, Chao Gao, Dongkuan Xu.
OpenAlex · ORCID · h-index 22 · 87 works · 1,731 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 154 times in our library · ⭐ Paper Stars ranking: #6151
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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 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work
🧭 Topics 2Research subjects and languages the work is about.Efficient models & compression · 1 workLanguage models & pretraining · 1 work
Works by year
2020s
Papers
- Parameter-Efficient Fine-Tuning for Large Models: A Comprehensive Survey (2024 · 240 citations)
Updating every weight of a model with billions of parameters costs more than most hardware can handle. This survey covers parameter-efficient fine-tuning (PEFT), where the pre-trained backbone stays mostly frozen and only a small set of parameters is trained for a new task. The authors first walk through how a… - Gentopia: A Collaborative Platform for Tool-Augmented LLMs (2023 · 15 citations)
Existing toolkits for tool-augmented language models (ALMs, or "agents"), such as AutoGPT, LangChain and HuggingGPT, are often tied to narrow task sets and need heavy boilerplate to tune.
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