GLMDST: Chinese Dialogue State Tracking Framework Driven by LLM
Author:
Affiliation:
1. Northeastern University,Faculty of Robot Science and Engineering,Shenyang,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10587298/10587321/10587519.pdf?arnumber=10587519
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3. Mars: Semantic-aware contrastive learning for end-to-end task-oriented dialog[J];Sun,2022
4. Find or classify? dual strategy for slot-value predictions on multi-domain dialog state tracking[J];Zhang,2019
5. A simple language model for task-oriented dialogue[J];Hosseini-Asl;Advances in Neural Information Processing Systems,2020
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