Selected Publications | Big AI Dream

Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction

Yonggang Jin, Ge Zhang, Hao Zhao, Tianyu Zheng, Jiawei Guo, Liuyu Xiang, Shawn Yue, Stephen W Huang, Wenhu Chen, Zhaofeng He, Jie Fu

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark

arXiv

Ge Zhang, Xinrun Du, Bei Chen, Yiming Liang, Tongxu Luo, Tianyu Zheng, Kang Zhu, Yuyang Cheng, Chunpu Xu, Shuyue Guo, Haoran Zhang, Xingwei Qu, Junjie Wang, Ruibin Yuan, Yizhi Li, Zekun Wang, Yudong Liu, Yu-Hsuan Tsai, Fengji Zhang, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu

CMMMU: A Chinese Massive Multi-discipline Multimodal Understanding Benchmark

Massive Editing for Large Language Models via Meta Learning

ICLR 2024

Chenmien Tan, Ge Zhang, Jie Fu

Massive Editing for Large Language Models via Meta Learning

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

arXiv

Jun Zhan, Junqi Dai, Jiasheng Ye, Yunhua Zhou, Dong Zhang, Zhigeng Liu, Xin Zhang, Ruibin Yuan, Ge Zhang, Linyang Li, Hang Yan, Jie Fu, Tao Gui, Tianxiang Sun, Yugang Jiang, Xipeng Qiu

AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

ICLR 2024

Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Yike Guo, Jie Fu

MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

arXiv

Jiaheng Liu, Zhiqi Bai, Yuanxing Zhang, Chenchen Zhang, Yu Zhang, Ge Zhang, Jiakai Wang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng

E^2-LLM: Efficient and Extreme Length Extension of Large Language Models

TACO: Topics in Algorithmic COde generation dataset

arXiv

Rongao Li, Jie Fu, BoWen Zhang, Tao Huang, Zhihong Sun, Chen Lyu, Guang Liu, Zhi Jin, Ge Li

TACO: Topics in Algorithmic COde generation dataset

AI Alignment: A Comprehensive Survey

arXiv

Jiaming Ji, Tianyi Qiu, Boyuan Chen, Borong Zhang, Hantao Lou, Kaile Wang, Yawen Duan, Zhonghao He, Jiayi Zhou, Zhaowei Zhang, Fanzhi Zeng, Kwan Yee Ng, Juntao Dai, Xuehai Pan, Aidan O'Gara, Yingshan Lei, Hua Xu, Brian Tse, Jie Fu, Stephen McAleer, Yaodong Yang, Yizhou Wang, SongChun Zhu, Yike Guo, Wen Gao

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

arXiv

Zekun Moore Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhu Chen, Jie Fu, Junran Peng

RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models

When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability

NeurIPS 2023

Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup

When Do Graph Neural Networks Help with Node Classification: Investigating the Homophily Principle on Node Distinguishability

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

NeurIPS 2023, Datasets and Benchmarks Track

Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu

MARBLE: Music Audio Representation Benchmark for Universal Evaluation

Running Ahead of Evolution - AI based Simulation for Predicting Future High-risk SARS-CoV-2 Variants

IJHPCA, ACM Gordon Bell COVID Finalist 2022

Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bin Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Chao Yang, Yonghong Tian

ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Symposium on Large Language Models, IJCAI 2023

Chenxu Hu, Jie Fu, Chenzhuang Du, Simian Luo, Junbo Zhao, Hang Zhao

ChatDB: Augmenting LLMs with Databases as Their Symbolic Memory

Think Before You Act: Decision Transformers with Internal Working Memory

arXiv

Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu

Interactive Natural Language Processing

arXiv

Zekun Wang, Ge Zhang, Kexin Yang, Ning Shi, Wangchunshu Zhou, Shaochun Hao, Guangzheng Xiong, Yizhi Li, Mong Yuan Sim, Xiuying Chen, Qingqing Zhu, Zhenzhu Yang, Adam Nik, Qi Liu, Chenghua Lin, Shi Wang, Ruibo Liu, Wenhu Chen, Ke Xu, Dayiheng Liu, Yike Guo, Jie Fu

MUDiff: Unified Diffusion for Complete Molecule Generation

LoG 2023

Chenqing Hua, Sitao Luan, Minkai Xu, Rex Ying, Jie Fu, Stefano Ermon, Doina Precup

MUDiff: Unified Diffusion for Complete Molecule Generation

Chinese Open Instruction Generalist: A Preliminary Release

arXiv

Ge Zhang, Yemin Shi, Ruibo Liu, Ruibin Yuan, Yizhi Li, Siwei Dong, Yu Shu, Zhaoqun Li, Zekun Wang, Chenghua Lin, Wenhao Huang, Jie Fu

Learning Multi-Objective Curricula for Robotic Policy Learning

CoRL 2022

Jikun Kang, Miao Liu, Abhinav Gupta, Chris Pal, Xue Liu, Jie Fu

Learning Multi-Objective Curricula for Robotic Policy Learning

Biological Sequence Design with GFlowNets

ICML 2022

Moksh Jain, Emmanuel Bengio, Alex-Hernandez Garcia, Jarrid Rector-Brooks, Bonaventure Dossou, Chanakya Ekbote, Jie Fu, Tianyu Zhang, Micheal Kilgour, Dinghuai Zhang, Lena Simine, Payel Das, Yoshua Bengio