Liang Chen

Liang Chen (陈亮)

I am a third-year PhD student at the Institute of Computational Linguistics, Peking University advised by Baobao Chang.

Currently, I am interested in developing Multimodal Foundation Models, Agents and Web3-for-AI. Feel free to contact (leo.liang.chen at outlook.com).

Email / Google Scholar / Github

Education

Peking University
School of Computer Science
2022.09 ~ 2027.06 (expected): PhD student

Jilin University
School of Software, Honours degree
2018.09 ~ 2022.06: Software Engineering, Pilot Class

Experience

I have been fortunately interning and collaborating with:

Microsoft Research Asia
Natural Language Computing Group, 2022.01-2022.12
Collaborating with Shuming Ma, Dongdong Zhang

Tencent
NLP Research Group, 2023.03-2023.08
Collaborating with Tianyu Liu

Alibaba
Qwen Group, 2023.10-2025.01
Collaborating with Junyang Lin, Shuai Bai, Tianyu Liu, Sinan Tan

Moonshot AI
Multimodal Group, 2025.3-Current
Collaborating with Yuxin Wu and Xinyu Zhou

News

[2025.01.24] Two Papers are accepted to ICLR 2025 and NAACL 2025!

[2024.09.27] I got the National Scholarship for Graduate Students!

[2024.07.01] One Paper is accepted to ECCV 2024!

[2024.04.15] Two Papers are accepted to ACL 2024!

[2024.04.29] Got my national registered ski coach licence!

[2024.03.01] One paper is accepted by ICLR 2024!

Publication

(*indicates equal contribution)

	Kimi-VL Technical Report Kimi-VL Team arXiv 2025 [code]
	Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang arXiv 2025 [code]
	RLVR in Vision Language Models: Findings, Questions and Directions Liang Chen, Lei Li, Haozhe Zhao, Yifan Song, Leon Vinci, Zihao Yue, Lingpeng Kong, Qi Liu, Baobao Chang Notion Blog 2025 [code] 3k Stars!
	Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, ... Survey 2025 [code]
	A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang ICLR 2025 [code]
	MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation 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 NAACL 2025 [Homepage] [Dataset]
	An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang ECCV 2024 (Oral, 2%) [Code]
	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 ACL-2024-Findings [Code] [Leaderboard]
	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 ACL 2024 [Code]
	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 ICLR 2024 [Code]
	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, Tianyu Liu, Baobao Chang Foundation Model for Decision Making Workshop @NeurIPS2023 [Code]
	Guiding AMR Parsing with Reverse Graph Linearization Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang EMNLP-2023-Findings [Code]
	On the Pareto Front of Multilingual Neural Machine Translation Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang NeurIPS 2023 [Code]
	On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation Liang Chen, Shuming Ma, Dongdong Zhang, Baobao Chang, Furu Wei ACL-2023-Findings [Code]
	基于概念预测和关系预测的AMR解析与对齐方法陈亮，高博飞，张亦驰，常宝宝《中文信息学报》 [Code]
	A Two-Stage Method for Chinese AMR Parsing Liang Chen, Bofei Gao, Baobao Chang CCL-2022 Workshop [Code] [Slides-ZH]
	ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang NAACL-2022-Findings [Code] [Slides-ZH]
	Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation Liang Chen, Runxin Xu, Baobao Chang ACL 2022 [Code] [Slides-ZH] [Slides-EN]
	Hierarchical Curriculum Learning for AMR Parsing Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui ACL 2022 [Code]
	DialogSum: A Real-Life Scenario Dialogue Summarization Dataset Yulong Chen, Yang Liu, Liang Chen, Yue Zhang ACL-2021-Findings [Code] [Homepage]
	Crossed-Time Delay Neural Network for Speaker Recognition Liang Chen, Yanchun Liang, Xiaohu Shi, You Zhou, Chunguo Wu MMM 2021 [Code]

Academic Service

Reviewer: NeurIPS 2024, ICLR 2025, ACL Rolling Review 2022,2023,2024,2025

Honors & Awards

National Scholarship, 2024
Huawei Scholarship, 2023
Win the 2nd Place in Chinese-AMR-Parsing-2022 Evaluation at CCL, 2022
Honours Degrees in Software Engineering & Outstanding Student Award, Jilin University, 2022
CCF Elite Collegiate Award, 2021

Miscellaneous

Also on my way to become a ski coach.