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ORCIDJie Fu 0001
Person information
- affiliation: Shangai AI Lab, China
- affiliation (2023 - 2024): Hong Kong University of Science and Technology, Department of Computer Science and Engineering, Hong Kong
- affiliation (2022 - 2023): Beijing Academy of Artificial Intelligence, China
- affiliation (2017 - 2022): Quebec AI Institute (Mila), Montreal, Canada
- affiliation (PhD 2017): National University of Singapore
Other persons with the same name
- Jie Fu — disambiguation page
- Jie Fu 0002
![[0000-0002-4470-2827]](https://dblp.dagstuhl.de/img/orcid-mark.12x12.png "0000-0002-4470-2827")
— University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA (and 4 more) - Jie Fu 0003 — East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China
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2020 – today
- 2024
[j4]Benyou Wang, Qianqian Xie, Jiahuan Pei, Zhihong Chen, Prayag Tiwari, Zhao Li, Jie Fu:
Pre-trained Language Models in Biomedical Domain: A Systematic Survey. ACM Comput. Surv. 56(3): 55:1-55:52 (2024)- [j3]Shuai Zhao, Luu Anh Tuan, Jie Fu, Jinming Wen, Weiqi Luo:
Exploring Clean Label Backdoor Attacks and Defense in Language Models. IEEE ACM Trans. Audio Speech Lang. Process. 32: 3014-3024 (2024) - [c57]Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu:
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. AAAI 2024: 7269-7277 - [c56]Jiaheng Liu, ZhiqiBai ZhiqiBai, Yuanxing Zhang, Chenchen Zhang, YuangZh YuangZh, Ge Zhang, JiakaiWang JiakaiWang, Haoran Que, Yukang Chen, Wenbo Su, Tiezheng Ge, Jie Fu, Wenhu Chen, Bo Zheng:
E2-LLM: Efficient and Extreme Length Extension of Large Language Models. ACL (Findings) 2024: 4243-4253 - [c55]Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Liumeng Xue, Ziyang Ma, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Jie Fu, Emmanouil Benetos, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo:
ChatMusician: Understanding and Generating Music Intrinsically with LLM. ACL (Findings) 2024: 6252-6271 - [c54]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, Yu-Gang Jiang, Xipeng Qiu:
AnyGPT: Unified Multimodal LLM with Discrete Sequence Modeling. ACL (1) 2024: 9637-9662 - [c53]Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Noah Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Wenhao Huang, Chenghua Lin, Jie Fu:
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. ACL (Findings) 2024: 12431-12446 - [c52]Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin:
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. ACL (Findings) 2024: 12560-12574 - [c51]Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue:
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. ACL (Findings) 2024: 12834-12859 - [c50]Noah Wang, Zhongyuan Peng, Haoran Que, Jiaheng Liu, Wangchunshu Zhou, Yuhan Wu, Hongcheng Guo, Ruitong Gan, Zehao Ni, Jian Yang, Man Zhang, Zhaoxiang Zhang, Wanli Ouyang, Ke Xu, Wenhao Huang, Jie Fu, Junran Peng:
RoleLLM: Benchmarking, Eliciting, and Enhancing Role-Playing Abilities of Large Language Models. ACL (Findings) 2024: 14743-14777 - [c49]Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Wenhao Huang, Ge Zhang, Jie Fu:
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. LREC/COLING 2024: 3357-3366 - [c48]Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen:
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. ECCV (87) 2024: 387-404 - [c47]Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu:
Unlocking Continual Learning Abilities in Language Models. EMNLP (Findings) 2024: 6503-6522 - [c46]Noah Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu:
PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. EMNLP (Findings) 2024: 16877-16915 - [c45]Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu:
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. ICLR 2024 - [c44]Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghao Xiao, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. Dannenberg, Ruibo Liu, Wenhu Chen, Gus Xia, Yemin Shi, Wenhao Huang, Zili Wang, Yike Guo, Jie Fu:
MERT: Acoustic Music Understanding Model with Large-Scale Self-supervised Training. ICLR 2024 - [c43]Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu:
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. Tiny Papers @ ICLR 2024 - [c42]Chenmien Tan, Ge Zhang, Jie Fu:
Massive Editing for Large Language Models via Meta Learning. ICLR 2024 - [c41]Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi:
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. ICLR 2024 - [c40]Jikun Kang, Romain Laroche, Xingdi Yuan, Adam Trischler, Xue Liu, Jie Fu:
Think Before You Act: Decision Transformers with Working Memory. ICML 2024 - [c39]Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje Karlsson, Jie Fu, Yemin Shi:
AutoAgents: A Framework for Automatic Agent Generation. IJCAI 2024: 22-30 - [c38]Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Zhongyu Wei, Xuanjing Huang:
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. ACM Multimedia 2024: 1971-1980 - [c37]Zihan Qiu, Zeyu Huang, Jie Fu:
Unlocking Emergent Modularity in Large Language Models. NAACL-HLT 2024: 2638-2660 - [c36]Shuai Zhao, Leilei Gan, Anh Tuan Luu, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen:
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. NAACL-HLT (Findings) 2024: 3421-3438 - [i94]Tianyu Zheng, Shuyue Guo, Xingwei Qu, Jiawei Guo, Weixu Zhang, Xinrun Du, Chenghua Lin, Wenhao Huang, Wenhu Chen, Jie Fu, Ge Zhang:
Kun: Answer Polishment for Chinese Self-Alignment with Instruction Back-Translation. CoRR abs/2401.06477 (2024) - [i93]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. CoRR abs/2401.06951 (2024) - [i92]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. CoRR abs/2401.11944 (2024) - [i91]Siwei Wu, Yizhi Li, Kang Zhu, Ge Zhang, Yiming Liang, Kaijing Ma, Chenghao Xiao, Haoran Zhang, Bohao Yang, Wenhu Chen, Wenhao Huang, Noura Al Moubayed, Jie Fu, Chenghua Lin:
SciMMIR: Benchmarking Scientific Multi-modal Information Retrieval. CoRR abs/2401.13478 (2024) - [i90]Yonggang Jin, Ge Zhang, Hao Zhao, Tianyu Zheng, Jiawei Guo, Liuyu Xiang, Shawn Yue, Stephen W. Huang, Wenhu Chen, Zhaofeng He, Jie Fu:
Read to Play (R2-Play): Decision Transformer with Multimodal Game Instruction. CoRR abs/2402.04154 (2024) - [i89]Shuai Zhao, Leilei Gan, Luu Anh Tuan, Jie Fu, Lingjuan Lyu, Meihuizi Jia, Jinming Wen:
Defending Against Weight-Poisoning Backdoor Attacks for Parameter-Efficient Fine-Tuning. CoRR abs/2402.12168 (2024) - [i88]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. CoRR abs/2402.12226 (2024) - [i87]Zihan Qiu, Zeyu Huang, Youcheng Huang, Jie Fu:
Empirical Study on Updating Key-Value Memories in Transformer Feed-forward Layers. CoRR abs/2402.12233 (2024) - [i86]Yizhi Li, Ge Zhang, Xingwei Qu, Jiali Li, Zhaoqun Li, Zekun Wang, Hao Li, Ruibin Yuan, Yinghao Ma, Kai Zhang, Wangchunshu Zhou, Yiming Liang, Lei Zhang, Lei Ma, Jiajun Zhang, Zuowen Li, Stephen W. Huang, Chenghua Lin, Wenhu Chen, Jie Fu:
CIF-Bench: A Chinese Instruction-Following Benchmark for Evaluating the Generalizability of Large Language Models. CoRR abs/2402.13109 (2024) - [i85]Yujie Shao, Xinrong Yao, Xingwei Qu, Chenghua Lin, Shi Wang, Stephen W. Huang, Ge Zhang, Jie Fu:
CMDAG: A Chinese Metaphor Dataset with Annotated Grounds as CoT for Boosting Metaphor Generation. CoRR abs/2402.13145 (2024) - [i84]Tianyu Zheng, Ge Zhang, Tianhao Shen, Xueling Liu, Bill Yuchen Lin, Jie Fu, Wenhu Chen, Xiang Yue:
OpenCodeInterpreter: Integrating Code Generation with Execution and Refinement. CoRR abs/2402.14658 (2024) - [i83]Ruibin Yuan, Hanfeng Lin, Yi Wang, Zeyue Tian, Shangda Wu, Tianhao Shen, Ge Zhang, Yuhang Wu, Cong Liu, Ziya Zhou, Ziyang Ma, Liumeng Xue, Ziyu Wang, Qin Liu, Tianyu Zheng, Yizhi Li, Yinghao Ma, Yiming Liang, Xiaowei Chi, Ruibo Liu, Zili Wang, Pengfei Li, Jingcheng Wu, Chenghua Lin, Qifeng Liu, Tao Jiang, Wenhao Huang, Wenhu Chen, Emmanouil Benetos, Jie Fu, Gus Xia, Roger B. Dannenberg, Wei Xue, Shiyin Kang, Yike Guo:
ChatMusician: Understanding and Generating Music Intrinsically with LLM. CoRR abs/2402.16153 (2024) - [i82]Alex Zhuang, Ge Zhang, Tianyu Zheng, Xinrun Du, Junjie Wang, Weiming Ren, Stephen W. Huang, Jie Fu, Xiang Yue, Wenhu Chen:
StructLM: Towards Building Generalist Models for Structured Knowledge Grounding. CoRR abs/2402.16671 (2024) - [i81]Ka Man Lo, Yiming Liang, Wenyu Du, Yuantao Fan, Zili Wang, Wenhao Huang, Lei Ma, Jie Fu:
m2mKD: Module-to-Module Knowledge Distillation for Modular Transformers. CoRR abs/2402.16918 (2024) - [i80]Xingwei Qu, Yiming Liang, Yucheng Wang, Tianyu Zheng, Tommy Yue, Lei Ma, Stephen W. Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Ge Zhang:
DEEP-ICL: Definition-Enriched Experts for Language Model In-Context Learning. CoRR abs/2403.04233 (2024) - [i79]Zhongwei Wan, Che Liu, Xin Wang, Chaofan Tao, Hui Shen, Zhenwu Peng, Jie Fu, Rossella Arcucci, Huaxiu Yao, Mi Zhang:
Electrocardiogram Instruction Tuning for Report Generation. CoRR abs/2403.04945 (2024) - [i78]Yuelin Bai, Xinrun Du, Yiming Liang, Yonggang Jin, Ziqiang Liu, Junting Zhou, Tianyu Zheng, Xincheng Zhang, Nuo Ma, Zekun Wang, Ruibin Yuan, Haihong Wu, Hongquan Lin, Wenhao Huang, Jiajun Zhang, Wenhu Chen, Chenghua Lin, Jie Fu, Min Yang, Shiwen Ni, Ge Zhang:
COIG-CQIA: Quality is All You Need for Chinese Instruction Fine-tuning. CoRR abs/2403.18058 (2024) - [i77]Chi-Min Chan, Chunpu Xu, Ruibin Yuan, Hongyin Luo, Wei Xue, Yike Guo, Jie Fu:
RQ-RAG: Learning to Refine Queries for Retrieval Augmented Generation. CoRR abs/2404.00610 (2024) - [i76]Chen Yang, Junzhuo Li, Xinyao Niu, Xinrun Du, Songyang Gao, Haoran Zhang, Zhaoliang Chen, Xingwei Qu, Ruibin Yuan, Yizhi Li, Jiaheng Liu, Stephen W. Huang, Shawn Yue, Wenhu Chen, Jie Fu, Ge Zhang:
The Fine Line: Navigating Large Language Model Pretraining with Down-streaming Capability Analysis. CoRR abs/2404.01204 (2024) - [i75]Jiawei Guo, Ziming Li, Xueling Liu, Kaijing Ma, Tianyu Zheng, Zhouliang Yu, Ding Pan, Yizhi Li, Ruibo Liu, Yue Wang, Shuyue Guo, Xingwei Qu, Xiang Yue, Ge Zhang, Wenhu Chen, Jie Fu:
CodeEditorBench: Evaluating Code Editing Capability of Large Language Models. CoRR abs/2404.03543 (2024) - [i74]Xinrun Du, Zhouliang Yu, Songyang Gao, Ding Pan, Yuyang Cheng, Ziyang Ma, Ruibin Yuan, Xingwei Qu, Jiaheng Liu, Tianyu Zheng, Xinchen Luo, Guorui Zhou, Binhang Yuan, Wenhu Chen, Jie Fu, Ge Zhang:
Chinese Tiny LLM: Pretraining a Chinese-Centric Large Language Model. CoRR abs/2404.04167 (2024) - [i73]Xingwei Qu, Yuelin Bai, Yinghao Ma, Ziya Zhou, Ka Man Lo, Jiaheng Liu, Ruibin Yuan, Lejun Min, Xueling Liu, Tianyu Zhang, Xinrun Du, Shuyue Guo, Yiming Liang, Yizhi Li, Shangda Wu, Junting Zhou, Tianyu Zheng, Ziyang Ma, Fengze Han, Wei Xue, Gus Xia, Emmanouil Benetos, Xiang Yue, Chenghua Lin, Xu Tan, Stephen W. Huang, Wenhu Chen, Jie Fu, Ge Zhang:
MuPT: A Generative Symbolic Music Pretrained Transformer. CoRR abs/2404.06393 (2024) - [i72]Qixin Deng, Qikai Yang, Ruibin Yuan, Yipeng Huang, Yi Wang, Xubo Liu, Zeyue Tian, Jiahao Pan, Ge Zhang, Hanfeng Lin, Yizhi Li, Yinghao Ma, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenwu Wang, Guangyu Xia, Wei Xue, Yike Guo:
ComposerX: Multi-Agent Symbolic Music Composition with LLMs. CoRR abs/2404.18081 (2024) - [i71]Wenyu Du, Tongxu Luo, Zihan Qiu, Zeyu Huang, Yikang Shen, Reynold Cheng, Yike Guo, Jie Fu:
Stacking Your Transformers: A Closer Look at Model Growth for Efficient LLM Pre-Training. CoRR abs/2405.15319 (2024) - [i70]Haoran Que, Jiaheng Liu, Ge Zhang, Chenchen Zhang, Xingwei Qu, Yinghao Ma, Feiyu Duan, Zhiqi Bai, Jiakai Wang, Yuanxing Zhang, Xu Tan, Jie Fu, Wenbo Su, Jiamang Wang, Lin Qu, Bo Zheng:
D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models. CoRR abs/2406.01375 (2024) - [i69]Tianyu Zhang, Suyuchen Wang, Lu Li, Ge Zhang, Perouz Taslakian, Sai Rajeswar, Jie Fu, Bang Liu, Yoshua Bengio:
VCR: Visual Caption Restoration. CoRR abs/2406.06462 (2024) - [i68]Shuai Zhao, Meihuizi Jia, Zhongliang Guo, Leilei Gan, Jie Fu, Yichao Feng, Fengjun Pan, Luu Anh Tuan:
A Survey of Backdoor Attacks and Defenses on Large Language Models: Implications for Security Measures. CoRR abs/2406.06852 (2024) - [i67]Lu Li, Tianyu Zhang, Zhiqi Bu, Suyuchen Wang, Huan He, Jie Fu, Yonghui Wu, Jiang Bian, Yong Chen, Yoshua Bengio:
MAP: Low-compute Model Merging with Amortized Pareto Fronts via Quadratic Approximation. CoRR abs/2406.07529 (2024) - [i66]Junjie Wang, Yin Zhang, Yatai Ji, Yuxiang Zhang, Chunyang Jiang, Yubo Wang, Kang Zhu, Zekun Wang, Tiezhen Wang, Wenhao Huang, Jie Fu, Bei Chen, Qunshu Lin, Minghao Liu, Ge Zhang, Wenhu Chen:
PIN: A Knowledge-Intensive Dataset for Paired and Interleaved Multimodal Documents. CoRR abs/2406.13923 (2024) - [i65]Wenyu Du, Shuang Cheng, Tongxu Luo, Zihan Qiu, Zeyu Huang, Ka Chun Cheung, Reynold Cheng, Jie Fu:
Unlocking Continual Learning Abilities in Language Models. CoRR abs/2406.17245 (2024) - [i64]Ka Man Lo, Zeyu Huang, Zihan Qiu, Zili Wang, Jie Fu:
A Closer Look into Mixture-of-Experts in Large Language Models. CoRR abs/2406.18219 (2024) - [i63]Zihan Qiu, Zeyu Huang, Shuang Cheng, Yizhi Zhou, Zili Wang, Ivan Titov, Jie Fu:
Layerwise Recurrent Router for Mixture-of-Experts. CoRR abs/2408.06793 (2024) - [i62]Zekun Wang, Feiyu Duan, Yibo Zhang, Wangchunshu Zhou, Ke Xu, Wenhao Huang, Jie Fu:
PositionID: LLMs can Control Lengths, Copy and Paste with Explicit Positional Awareness. CoRR abs/2410.07035 (2024) - [i61]Zekun Moore Wang, Shawn Wang, Kang Zhu, Jiaheng Liu, Ke Xu, Jie Fu, Wangchunshu Zhou, Wenhao Huang:
PopAlign: Diversifying Contrasting Patterns for a More Comprehensive Alignment. CoRR abs/2410.13785 (2024) - 2023
- [j2]Jie Chen, Zhiwei Nie, Yu Wang, Kai Wang, Fan Xu, Zhiheng Hu, Bing Zheng, Zhennan Wang, Guoli Song, Jingyi Zhang, Jie Fu, Xiansong Huang, Zhongqi Wang, Zhixiang Ren, Qiankun Wang, Daixi Li, Dongqing Wei, Bin Zhou, Chao Yang, Yonghong Tian:
Running ahead of evolution - AI-based simulation for predicting future high-risk SARS-CoV-2 variants. Int. J. High Perform. Comput. Appl. 37(6): 650-665 (2023) - [c35]Shuai Zhao, Jinming Wen, Anh Tuan Luu, Junbo Zhao, Jie Fu:
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. EMNLP 2023: 12303-12317 - [c34]Mingfeng Xue, Dayiheng Liu, Wenqiang Lei, Jie Fu, Jian Lan, Mei Li, Baosong Yang, Jun Xie, Yidan Zhang, Dezhong Peng, Jiancheng Lv:
Unifying Discrete and Continuous Representations for Unsupervised Paraphrase Generation. EMNLP 2023: 13805-13822 - [c33]Le Zhuo, Ruibin Yuan, Jiahao Pan, Yinghao Ma, Yizhi Li, Ge Zhang, Si Liu, Roger B. Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenhu Chen, Wei Xue, Yike Guo:
LyricWhiz: Robust Multilingual Zero-Shot Lyrics Transcription by Whispering to ChatGPT. ISMIR 2023: 343-351 - [c32]Yinghao Ma, Ruibin Yuan, Yizhi Li, Ge Zhang, Chenghua Lin, Xingran Chen, Anton Ragni, Hanzhi Yin, Emmanouil Benetos, Norbert Gyenge, Ruibo Liu, Gus Xia, Roger B. Dannenberg, Yike Guo, Jie Fu:
On the Effectiveness of Speech Self-Supervised Learning for Music. ISMIR 2023: 457-465 - [c31]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. NeurIPS 2023 - [c30]Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger B. Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu:
MARBLE: Music Audio Representation Benchmark for Universal Evaluation. NeurIPS 2023 - [i60]Ge Zhang, Yizhi Li, Yaoyao Wu, Linyuan Zhang, Chenghua Lin, Jiayi Geng, Shi Wang, Jie Fu:
CORGI-PM: A Chinese Corpus For Gender Bias Probing and Mitigation. CoRR abs/2301.00395 (2023) - [i59]Chen Chen, Jie Fu, Lingjuan Lyu:
A Pathway Towards Responsible AI Generated Content. CoRR abs/2303.01325 (2023) - [i58]Juhao Liang, Chen Zhang, Zhengyang Tang, Jie Fu, Dawei Song, Benyou Wang:
Modular Retrieval for Generalization and Interpretation. CoRR abs/2303.13419 (2023) - [i57]Ge Zhang, Yemin Shi, Ruibo Liu, Ruibin Yuan, Yizhi Li, Siwei Dong, Yu Shu, Zhaoqun Li, Zekun Wang, Chenghua Lin, Wenhao Huang, Jie Fu:
Chinese Open Instruction Generalist: A Preliminary Release. CoRR abs/2304.07987 (2023) - [i56]Shuai Zhao, Jinming Wen, Luu Anh Tuan, Junbo Zhao, Jie Fu:
Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models. CoRR abs/2305.01219 (2023) - [i55]Jianquan Li, Xidong Wang, Xiangbo Wu, Zhiyi Zhang, Xiaolong Xu, Jie Fu, Prayag Tiwari, Xiang Wan, Benyou Wang:
Huatuo-26M, a Large-scale Chinese Medical QA Dataset. CoRR abs/2305.01526 (2023) - [i54]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:
Interactive Natural Language Processing. CoRR abs/2305.13246 (2023) - [i53]Xingran Chen, Ge Zhang, Jie Fu:
TPDM: Selectively Removing Positional Information for Zero-shot Translation via Token-Level Position Disentangle Module. CoRR abs/2305.19857 (2023) - [i52]Zhongwei Wan, Che Liu, Mi Zhang, Jie Fu, Benyou Wang, Sibo Cheng, Lei Ma, César Quilodrán Casas, Rossella Arcucci:
Med-UniC: Unifying Cross-Lingual Medical Vision-Language Pre-Training by Diminishing Bias. CoRR abs/2305.19894 (2023) - [i51]Yizhi Li, Ruibin Yuan, Ge Zhang, Yinghao Ma, Xingran Chen, Hanzhi Yin, Chenghua Lin, Anton Ragni, Emmanouil Benetos, Norbert Gyenge, Roger B. 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. CoRR abs/2306.00107 (2023) - [i50]Ruibin Yuan, Yinghao Ma, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Le Zhuo, Yiqi Liu, Jiawen Huang, Zeyue Tian, Binyue Deng, Ningzhi Wang, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Roger B. Dannenberg, Wenhu Chen, Gus Xia, Wei Xue, Si Liu, Shi Wang, Ruibo Liu, Yike Guo, Jie Fu:
MARBLE: Music Audio Representation Benchmark for Universal Evaluation. CoRR abs/2306.10548 (2023) - [i49]Yonggang Jin, Chenxu Wang, Liuyu Xiang, Yaodong Yang, Jie Fu, Zhaofeng He:
Deep Reinforcement Learning with Multitask Episodic Memory Based on Task-Conditioned Hypernetwork. CoRR abs/2306.10698 (2023) - [i48]Miao Xiong, Zhiyuan Hu, Xinyang Lu, Yifei Li, Jie Fu, Junxian He, Bryan Hooi:
Can LLMs Express Their Uncertainty? An Empirical Evaluation of Confidence Elicitation in LLMs. CoRR abs/2306.13063 (2023) - [i47]Le Zhuo, Ruibin Yuan, Jiahao Pan, Yinghao Ma, Yizhi Li, Ge Zhang, Si Liu, Roger B. Dannenberg, Jie Fu, Chenghua Lin, Emmanouil Benetos, Wenhu Chen, Wei Xue, Yike Guo:
LyricWhiz: Robust Multilingual Zero-shot Lyrics Transcription by Whispering to ChatGPT. CoRR abs/2306.17103 (2023) - [i46]Yinghao Ma, Ruibin Yuan, Yizhi Li, Ge Zhang, Xingran Chen, Hanzhi Yin, Chenghua Lin, Emmanouil Benetos, Anton Ragni, Norbert Gyenge, Ruibo Liu, Gus Xia, Roger B. Dannenberg, Yike Guo, Jie Fu:
On the Effectiveness of Speech Self-supervised Learning for Music. CoRR abs/2307.05161 (2023) - [i45]Chi-Min Chan, Weize Chen, Yusheng Su, Jianxuan Yu, Wei Xue, Shanghang Zhang, Jie Fu, Zhiyuan Liu:
ChatEval: Towards Better LLM-based Evaluators through Multi-Agent Debate. CoRR abs/2308.07201 (2023) - [i44]Jingbang Chen, Yian Wang, Xingwei Qu, Shuangjia Zheng, Yaodong Yang, Hao Dong, Jie Fu:
Mixup-Augmented Meta-Learning for Sample-Efficient Fine-Tuning of Protein Simulators. CoRR abs/2308.15116 (2023) - [i43]Guangyao Chen, Siwei Dong, Yu Shu, Ge Zhang, Jaward Sesay, Börje F. Karlsson, Jie Fu, Yemin Shi:
AutoAgents: A Framework for Automatic Agent Generation. CoRR abs/2309.17288 (2023) - [i42]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. CoRR abs/2310.00746 (2023) - [i41]Zejun Li, Ye Wang, Mengfei Du, Qingwen Liu, Binhao Wu, Jiwen Zhang, Chengxing Zhou, Zhihao Fan, Jie Fu, Jingjing Chen, Xuanjing Huang, Zhongyu Wei:
ReForm-Eval: Evaluating Large Vision Language Models via Unified Re-Formulation of Task-Oriented Benchmarks. CoRR abs/2310.02569 (2023) - [i40]Zihan Qiu, Zeyu Huang, Jie Fu:
Emergent Mixture-of-Experts: Can Dense Pre-trained Transformers Benefit from Emergent Modular Structures? CoRR abs/2310.10908 (2023) - [i39]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, Song-Chun Zhu, Yike Guo, Wen Gao:
AI Alignment: A Comprehensive Survey. CoRR abs/2310.19852 (2023) - [i38]Chenmien Tan, Ge Zhang, Jie Fu:
Massive Editing for Large Language Models via Meta Learning. CoRR abs/2311.04661 (2023) - [i37]Cong Wei, Yang Chen, Haonan Chen, Hexiang Hu, Ge Zhang, Jie Fu, Alan Ritter, Wenhu Chen:
UniIR: Training and Benchmarking Universal Multimodal Information Retrievers. CoRR abs/2311.17136 (2023) - [i36]Fangxin Shang, Jie Fu, Yehui Yang, Haifeng Huang, Junwei Liu, Lei Ma:
SynFundus: A synthetic fundus images dataset with millions of samples and multi-disease annotations. CoRR abs/2312.00377 (2023) - [i35]Che Liu, Cheng Ouyang, Yinda Chen, César Quilodrán Casas, Lei Ma, Jie Fu, Yike Guo, Anand Shah, Wenjia Bai, Rossella Arcucci:
T3D: Towards 3D Medical Image Understanding through Vision-Language Pre-training. CoRR abs/2312.01529 (2023) - [i34]Jiankai Sun, Chuanyang Zheng, Enze Xie, Zhengying Liu, Ruihang Chu, Jianing Qiu, Jiaqi Xu, Mingyu Ding, Hongyang Li, Mengzhe Geng, Yue Wu, Wenhai Wang, Junsong Chen, Zhangyue Yin, Xiaozhe Ren, Jie Fu, Junxian He, Wu Yuan, Qi Liu, Xihui Liu, Yu Li, Hao Dong, Yu Cheng, Ming Zhang, Pheng-Ann Heng, Jifeng Dai, Ping Luo, Jingdong Wang, Ji-Rong Wen, Xipeng Qiu, Yike Guo, Hui Xiong, Qun Liu, Zhenguo Li:
A Survey of Reasoning with Foundation Models. CoRR abs/2312.11562 (2023) - [i33]Ruiyuan Zhang, Jiaxiang Liu, Zexi Li, Hao Dong, Jie Fu, Chao Wu:
Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers. CoRR abs/2312.12340 (2023) - [i32]Chunpu Xu, Steffi Chern, Ethan Chern, Ge Zhang, Zekun Wang, Ruibo Liu, Jing Li, Jie Fu, Pengfei Liu:
Align on the Fly: Adapting Chatbot Behavior to Established Norms. CoRR abs/2312.15907 (2023) - 2022
- [c29]Adam Nik, Ge Zhang, Xingran Chen, Mingyu Li, Jie Fu:
1Cademy @ Causal News Corpus 2022: Leveraging Self-Training in Causality Classification of Socio-Political Event Data. CASE@EMNLP 2022: 91-99 - [c28]Xingran Chen, Ge Zhang, Adam Nik, Mingyu Li, Jie Fu:
1Cademy @ Causal News Corpus 2022: Enhance Causal Span Detection via Beam-Search-based Position Selector. CASE@EMNLP 2022: 100-105 - [c27]Jikun Kang, Miao Liu, Abhinav Gupta, Christopher Pal, Xue (Steve) Liu, Jie Fu:
Learning Multi-Objective Curricula for Robotic Policy Learning. CoRL 2022: 847-858 - [c26]Youcheng Huang, Wenqiang Lei, Jie Fu, Jiancheng Lv:
Reconciliation of Pre-trained Models and Prototypical Neural Networks in Few-shot Named Entity Recognition. EMNLP (Findings) 2022: 1793-1807 - [c25]