Hi, this is Liang Chen (陈亮). I'm a PhD student at the Institute of Computational Linguistics, Peking University advised by Baobao Chang.
Currently, I am interested in developing Multimodal Understanding and Generation with Foundation Models. Please feel free to contact and discuss. Google Scholar Page
2022.07 ~ Now: School of Computer Science, Peking University, PhD, majoring in Natural Language Processing
2018.09 ~ 2022.06: School of Software, Jilin University, Bachelor, majoring in Software Engineering, Pilot Class
2022-2023: Microsoft Research Asia, Natural Language Computing Group, collaborating with Shuming Ma
* denotes equal contribution
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
[Code][Demo]
Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang
Preprint
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain
[Code][Leaderboard]
Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang
Preprint
Large language models are not fair evaluators
[Code]
Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui
Preprint
* denotes equal contribution
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
[Code]
Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
ICLR 2024
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond
[Code]
Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Tianyu Liu, Baobao Chang
Foundation Model for Decision Making Workshop @NeurIPS2023
Guiding AMR Parsing with Reverse Graph Linearization
[Code]
Bofei Gao*, Liang Chen*, Peiyi Wang, Zhifang Sui, Baobao Chang
EMNLP-2023-Findings
基于概念预测和关系预测的AMR解析与对齐方法
[Code]
陈亮,高博飞,张亦驰,常宝宝
《中文信息学报》
On the Pareto Front of Multilingual Neural Machine Translation
[Code]
Liang Chen*, Shuming Ma*, Dongdong Zhang, Furu Wei, Baobao Chang
NeurIPS 2023
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation
[Code]
Liang Chen, Shuming Ma, Dongdong Zhang, Baobao Chang, Furu Wei
The 61th Annual Meeting of the Association for Computational Linguistics(ACL-2023-Findings)
A Two-Stage Method for Chinese AMR Parsing
[Code][Slides-ZH]
Liang Chen, Bofei Gao, Baobao Chang
Chinese Abstract Meaning Representation Parsing 2022 (CCL-2022 Workshop)
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs
[Code][Slides-ZH]
Liang Chen*, Peiyi Wang*, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics(NAACL-2022-Findings)
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation
[Code][Slides-ZH][Slides-EN]
Liang Chen, Runxin Xu, Baobao Chang
The 60th Annual Meeting of the Association for Computational Linguistics (ACL-2022)
Hierarchical Curriculum Learning for AMR Parsing
[Code]
Peiyi Wang*,Liang Chen*, Tianyu Liu, Baobao Chang, Zhifang Sui
The 60th Annual Meeting of the Association for Computational Linguistics (ACL-2022)
DialogSum: A Real-Life Scenario Dialogue Summarization Dataset
[Code][Homepage]
Yulong Chen, Yang Liu, Liang Chen, Yue Zhang
The 59th Annual Meeting of the Association for Computational Linguistics
(ACL-2021-Findings)
Crossed-Time Delay Neural Network for Speaker Recognition
[Code]
Liang Chen, Yanchun Liang, Xiaohu Shi, You Zhou, Chunguo Wu
The 27th International Conference on Multimedia Modeling (MMM-2021)
Reviewer: ACL Rolling Review 2022,2023,2024
基于加权标签平滑的神经机器翻译模型训练方法[Link]
A Training Method for Neural Machine Translation Model Based on Weighted Label Smoothing
常宝宝;陈亮;许润昕
misc: On my way to become a professional ski coach.