Liang Chen

According to our database, Liang Chen authored at least 17 papers between 2009 and 2024.

Collaborative distances:

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

2024

PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang

CoRR, 2024

2023

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.

Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein

CoRR, 2023

Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond.

Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang

CoRR, 2023

MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning.

Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang

CoRR, 2023

Making Large Language Models Better Reasoners with Alignment.

Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui

CoRR, 2023

M³IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning.

Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu

CoRR, 2023

Large Language Models are not Fair Evaluators.

Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui

CoRR, 2023

On the Pareto Front of Multilingual Neural Machine Translation.

Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang

CoRR, 2023

On the Pareto Front of Multilingual Neural Machine Translation.

Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Guiding AMR Parsing with Reverse Graph Linearization.

Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation.

Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

A Two-Stage Method for Chinese AMR Parsing.

Liang Chen, Bofei Gao, Baobao Chang

CoRR, 2022

ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs.

Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Hierarchical Curriculum Learning for AMR Parsing.

Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation.

Liang Chen, Runxin Xu, Baobao Chang

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2022

2021

Hierarchical Curriculum Learning for AMR Parsing.

Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui

CoRR, 2021

2009

Applying tree kernel to Chinese syntactic parsing reranking.

Xiaodong Zheng, Liang Chen, Baobao Chang

Proceedings of the 5th International Conference on Natural Language Processing and Knowledge Engineering, 2009