Blockchain Meets LLMs: A Living Survey on Bidirectional Integration
Jianghao Gong, Peiqi Yan, Yue Zhang, Hongli An, Logan Liu

TL;DR
This survey explores the integration of blockchain technology with large language models, highlighting potential benefits, challenges, and future development directions for cross-disciplinary innovation.
Contribution
It provides a comprehensive evaluation of the advantages, limitations, and technical convergence opportunities between blockchain and large language models.
Findings
Identified six major development directions for applying LLMs to blockchain.
Explored blockchain solutions to address LLM limitations and their application scenarios.
Analyzed the potential of blockchain to enhance LLM security and privacy.
Abstract
In the domain of large language models, considerable advancements have been attained in multimodal large language models and explainability research, propelled by the continuous technological progress and innovation. Nonetheless, security and privacy concerns continue to pose as prominent challenges in this field. The emergence of blockchain technology, marked by its decentralized nature, tamper-proof attributes, distributed storage functionality, and traceability, has provided novel approaches for resolving these issues. Both of these technologies independently hold vast potential for development; yet, their combination uncovers substantial cross-disciplinary opportunities and growth prospects. The current research tendencies are increasingly concentrating on the integration of blockchain with large language models, with the aim of compensating for their respective limitations through…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsBlockchain Technology Applications and Security · FinTech, Crowdfunding, Digital Finance
