Song, Linfeng

A Graph-to-Sequence Model for AMR-to-Text Generation

Song, L., Zhang, Y., Wang, Z., & Gildea, D. (2018) · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Natural Language Processing TechniquesTopic Modeling

Cited by 216

JointGT: Graph-Text Joint Representation Learning for Text Generation from Knowledge Graphs

Ke, P., Ji, H., Ran, Y., Cui, X., Wang, L., Song, L., Zhu, X., & Huang, M. (2021) · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021

Topic ModelingAdvanced Graph Neural Networks

Cited by 92

Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing

Tian, Y., Peng, B., Song, L., Jin, L., Yu, D., Mi, H., & Yu, D. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 7

Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs

Chen, X., Xu, J., Liang, T., He, Z., Pang, J., Yu, D., Song, L., Liu, Q., Zhou, M., Zhang, Z., et al. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Mitigating Catastrophic Forgetting in Large Language Models with Self-Synthesized Rehearsal

Huang, J., Cui, L., Wang, A., Yang, C., Liao, X., Song, L., Yao, J., & Su, J. (2024) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 3