Songming Zhang

According to our database, Songming Zhang authored at least 15 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

KDFlow: A User-Friendly and Efficient Knowledge Distillation Framework for Large Language Models.

Songming Zhang, Xue Zhang, Tong Zhang, Bojie Hu, Yufeng Chen, Jinan Xu

CoRR, March, 2026

GLINT: Global-local fusion with attention intervention for MLLM hallucination mitigation caused by insufficient visual resolution.

Pengyu Zhao, Jinan Xu, Songming Zhang, Chengkai Wang, Wenjuan Han

Inf. Process. Manag., 2026

Think Natively: Unlocking Multilingual Reasoning with Consistency-Enhanced Reinforcement Learning.

Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Kaiyu Huang, Yufeng Chen, Jinan Xu, Jie Zhou

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

A Dual-Space Framework for General Knowledge Distillation of Large Language Models.

Xuejie Zhang, Songming Zhang, Yunlong Liang, Fandong Meng, Yufeng Chen, Jinan Xu, Jie Zhou

CoRR, April, 2025

CM-Align: Consistency-based Multilingual Alignment for Large Language Models.

Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025

Multilingual Knowledge Editing with Language-Agnostic Factual Neurons.

Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Less, but Better: Efficient Multilingual Expansion for LLMs via Layer-wise Mixture-of-Experts.

Xue Zhang, Yunlong Liang, Fandong Meng, Songming Zhang, Yufeng Chen, Jinan Xu, Jie Zhou

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

AlignDistil: Token-Level Language Model Alignment as Adaptive Policy Distillation.

Songming Zhang, Xue Zhang, Tong Zhang, Bojie Hu, Yufeng Chen, Jinan Xu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Dual-Space Knowledge Distillation for Large Language Models.

Songming Zhang, Xue Zhang, Zengkui Sun, Yufeng Chen, Jinan Xu

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

2023

A Quality-based Syntactic Template Retriever for Syntactically-Controlled Paraphrase Generation.

Xue Zhang, Songming Zhang, Yunlong Liang, Yufeng Chen, Jian Liu, Wenjuan Han, Jinan Xu

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Towards Understanding and Improving Knowledge Distillation for Neural Machine Translation.

Songming Zhang, Yunlong Liang, Shuaibo Wang, Yufeng Chen, Wenjuan Han, Jian Liu, Jinan Xu

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Exploiting Morpheme and Cross-lingual Knowledge to Enhance Mongolian Named Entity Recognition.

Songming Zhang, Ying Zhang, Yufeng Chen, Du Wu, Jinan Xu, Jian Liu

ACM Trans. Asian Low Resour. Lang. Inf. Process., September, 2022

Improved Data Augmentation for Translation Suggestion.

Hongxiao Zhang, Siyu Lai, Songming Zhang, Hui Huang, Yufeng Chen, Jinan Xu, Jian Liu

Proceedings of the Seventh Conference on Machine Translation, 2022

Adversarially Improving NMT Robustness to ASR Errors with Confusion Sets.

Shuaibo Wang, Yufeng Chen, Songming Zhang, Deyi Xiong, Jinan Xu

Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing, 2022

Conditional Bilingual Mutual Information Based Adaptive Training for Neural Machine Translation.

Songming Zhang, Yijin Liu, Fandong Meng, Yufeng Chen, Jinan Xu, Jian Liu, Jie Zhou

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022