Papers by Changyin Luo
Retrieval-Augmented Generation for Large Language Model based Few-shot Chinese Spell Checking (2025.coling-main)
Copied to clipboard
| Challenge: | Existing LLM-based Chinese spelling check methods rely on fixed prompt samples . existing methods are limited by technical bottlenecks, complex recognition environments, and individual differences . |
| Approach: | They propose a framework called RagID to provide well-chosen prompt samples . they propose to use semantic-based similarity search and iterative discriminator mechanism . |
| Outcome: | The proposed framework can provide well-chosen prompt samples and reduce overcorrection issues in Chinese spelling check tasks. |