txsun1997/LMaaS-Papers
A curated collection of 67 academic papers on accessing and adapting large language models via API services.
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This repository maintains a curated list of research papers on Language-Model-as-a-Service (LMaaS), a paradigm where users access large pre-trained LLMs through inference APIs without access to model weights. The collection covers methods for adapting black-box LLMs to downstream tasks, including text prompt design, in-context learning, black-box optimization, feature-based learning, and data generation techniques. It is maintained by NLP researchers to facilitate research in efficiently using commercial and closed-source LLMs.
Frequently asked
- What is txsun1997/LMaaS-Papers?
- A curated collection of 67 academic papers on accessing and adapting large language models via API services.
- Is LMaaS-Papers open source?
- Yes — txsun1997/LMaaS-Papers is open source, released under the MIT license.
- How popular is LMaaS-Papers?
- txsun1997/LMaaS-Papers has 545 stars on GitHub.
- Where can I find LMaaS-Papers?
- txsun1997/LMaaS-Papers is on GitHub at https://github.com/txsun1997/LMaaS-Papers.