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ORCIDLiang Chen 0024
Person information
- affiliation: Peking University, National Key Laboratory for Multimedia Information Processing, China
Other persons with the same name
- Liang Chen — disambiguation page
- Liang Chen 0001
![[0000-0002-3787-8832]](https://dblp.uni-trier.de./img/orcid-mark.12x12.png "0000-0002-3787-8832")
— Sun Yat-Sen University, School of Data and Computer Science, Guangzhou, China (and 2 more) - Liang Chen 0002 — Sun Yat-sen University, School of Communication and Design, Guangzhou, China (and 2 more)
- Liang Chen 0003 — Nanjing University of Science and Technology, School of Computer Science and Engineering, China
- Liang Chen 0004 — Beijing Institute of Technology, School of Information and Electronic, China
- Liang Chen 0005 — Huaibei Normal University, School of Mathematical Sciences, China (and 1 more)
- Liang Chen 0006 — Hunan University, College of Mathematics and Econometrics, Changsha, China
- Liang Chen 0007 — Wuhan University, LIEMARS, China (and 3 more)
- Liang Chen 0009 — Shenzhen University, College of Information Engineering, China (and 1 more)
- Liang Chen 0010 — Xidian University, State Key Laboratory of Integrated Service Networks, Xi'an, China
- Liang Chen 0011 — Chongqing College of Electronic Engineering, Electronic Technician Institute, China
- Liang Chen 0012 — Wenzhou University, College of Mathematics and Information Science, China (and 3 more)
- Liang Chen 0013 — Jiangsu Electric Power Company Research Institute, Nanjing, China
- Liang Chen 0014 — Karlsruhe Institute of Technology, Germany
- Liang Chen 0015 — Harbin Institute of Technology, School of Electronics and Information Engineering, Communications Research Center, Harbin, China
- Liang Chen 0016 — Chongqing Medical University, Department of Hepatobiliary Surgery, Chongqing, China
- Liang Chen 0017 — Zhejiang University, Institute of Cyber-Systems and Control, State Key Laboratory of Industrial Control Technology, Hangzhou, China (and 2 more)
- Liang Chen 0018 — Imperial College London, Department of Computing, Biomedical Image Analysis Group, London, UK
- Liang Chen 0019 — Ohio State Uinversity, Department of Computer Science and Engineering, Columbus, OH, USA
- Liang Chen 0020 — King Abdullah University of Science and Technology, Thuwal, Saudi Arabia
- Liang Chen 0021 — Shantou University, Key Laboratory of Intelligent Manufacturing Technology of Ministry of Education, Shantou, China (and 2 more)
- Liang Chen 0022 — Jilin University, College of Computer Science and Technology, MoE Key Laboratory of Symbolic Computation and Knowledge Engineering, Changchun, China
- Liang Chen 0023 — Fudan University, Huashan Hospital, Department of Neurosurgery, Shanghai, China
- Liang Chen 0025 — University of California, Riverside, Department of Electrical and Computer Engineering, CA, USA (and 1 more)
- Liang Chen 0026 — Fujian Normal University, College of Photonic and Electronic Engineering, Fuzhou, China (and 1 more)
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2020 – today
- 2024
[c14]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. ACL (Findings) 2024: 1086-1104- [c13]Peiyi Wang, Lei Li, Liang Chen, Zefan Cai, Dawei Zhu, Binghuai Lin, Yunbo Cao, Lingpeng Kong, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. ACL (1) 2024: 9440-9450 - [c12]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. ECCV (81) 2024: 19-35 - [c11]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu:
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. EMNLP 2024: 6227-6246 - [c10]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. ICLR 2024 - [c9]Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang:
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. NAACL-HLT 2024: 2893-2907 - [c8]Haozhe Zhao, Xiaojian (Shawn) Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang:
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. NeurIPS 2024 - [i25]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. CoRR abs/2402.15527 (2024) - [i24]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR abs/2403.06764 (2024) - [i23]Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang:
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. CoRR abs/2404.08491 (2024) - [i22]Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR abs/2407.00468 (2024) - [i21]Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang:
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. CoRR abs/2407.05282 (2024) - [i20]Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR abs/2409.02795 (2024) - [i19]Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang:
A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. CoRR abs/2410.01912 (2024) - [i18]Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang:
Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. CoRR abs/2410.07985 (2024) - [i17]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong, Qi Liu:
VLFeedback: A Large-Scale AI Feedback Dataset for Large Vision-Language Models Alignment. CoRR abs/2410.09421 (2024) - [i16]Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Mingjia Zhang, Baobao Chang:
Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance. CoRR abs/2411.14279 (2024) - [i15]Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang:
Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. CoRR abs/2412.18619 (2024) - 2023
- [c7]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. ACL (Findings) 2023: 9542-9558 - [c6]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. EMNLP (Findings) 2023: 13-26 - [c5]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Pareto Front of Multilingual Neural Machine Translation. NeurIPS 2023 - [i14]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Pareto Front of Multilingual Neural Machine Translation. CoRR abs/2304.03216 (2023) - [i13]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. CoRR abs/2305.10930 (2023) - [i12]Peiyi Wang, Lei Li, Liang Chen, Dawei Zhu, Binghuai Lin, Yunbo Cao, Qi Liu, Tianyu Liu, Zhifang Sui:
Large Language Models are not Fair Evaluators. CoRR abs/2305.17926 (2023) - [i11]Lei Li, Yuwei Yin, Shicheng Li, Liang Chen, Peiyi Wang, Shuhuai Ren, Mukai Li, Yazheng Yang, Jingjing Xu, Xu Sun, Lingpeng Kong, Qi Liu:
M3IT: A Large-Scale Dataset towards Multi-Modal Multilingual Instruction Tuning. CoRR abs/2306.04387 (2023) - [i10]Peiyi Wang, Lei Li, Liang Chen, Feifan Song, Binghuai Lin, Yunbo Cao, Tianyu Liu, Zhifang Sui:
Making Large Language Models Better Reasoners with Alignment. CoRR abs/2309.02144 (2023) - [i9]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. CoRR abs/2309.07915 (2023) - [i8]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. CoRR abs/2310.02071 (2023) - [i7]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. CoRR abs/2310.08860 (2023) - [i6]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:
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR abs/2311.09835 (2023) - [i5]Lei Li, Zhihui Xie, Mukai Li, Shunian Chen, Peiyi Wang, Liang Chen, Yazheng Yang, Benyou Wang, Lingpeng Kong:
Silkie: Preference Distillation for Large Visual Language Models. CoRR abs/2312.10665 (2023) - 2022
- [c4]Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. ACL (2) 2022: 333-339 - [c3]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. ACL (2) 2022: 665-671 - [c2]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) 2022: 2482-2496 - [i4]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. CoRR abs/2203.02889 (2022) - [i3]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR abs/2204.08875 (2022) - [i2]Liang Chen, Bofei Gao, Baobao Chang:
A Two-Stage Method for Chinese AMR Parsing. CoRR abs/2209.14512 (2022) - 2021
- [i1]Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. CoRR abs/2110.07855 (2021)
2000 – 2009
- 2009
- [c1]Xiaodong Zheng, Liang Chen, Baobao Chang:
Applying tree kernel to Chinese syntactic parsing reranking. NLPKE 2009: 1-6
Coauthor Index
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