Yixin Ji

According to our database, Yixin Ji authored at least 24 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Beware of Calibration Data for Pruning Large Language Models.

Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Ping Li, Xinyu Duan, Zhe-Feng Wang, Min Zhang

CoRR, 2024

IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing.

Kang Chen, Qingheng Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen

CoRR, 2024

Demonstration Augmentation for Zero-shot In-context Learning.

Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Bowen Yan, Min Zhang

CoRR, 2024

Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.

Yixin Ji, Yang Xiang, Juntao Li, Wei Chen, Zhongyi Liu, Kehai Chen, Min Zhang

CoRR, 2024

OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning.

Dan Qiao, Yi Su, Pinzheng Wang, Jing Ye, Wenjing Xie, Yuechi Zhou, Yuyang Ding, Zecheng Tang, Jikai Wang, Yixin Ji, Yue Wang, Pei Guo, Zechen Sun, Zikang Zhang, Juntao Li, Pingfu Chao, Wenliang Chen, Guohong Fu, Guodong Zhou, Qiaoming Zhu, Min Zhang

CoRR, 2024

LLMGR: Large Language Model-based Generative Retrieval in Alipay Search.

Chen Wei, Yixin Ji, Zeyuan Chen, Jia Xu, Zhongyi Liu

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Adaptive Feature-based Low-Rank Compression of Large Language Models via Bayesian Optimization.

Yixin Ji, Yang Xiang, Juntao Li, Qingrong Xia, Zi Ye, Xinyu Duan, Zhefeng Wang, Kehai Chen, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Retrieval and Reasoning on KGs: Integrate Knowledge Graphs into Large Language Models for Complex Question Answering.

Yixin Ji, Kaixin Wu, Juntao Li, Wei Chen, Mingjie Zhong, Xu Jia, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

IPL: Leveraging Multimodal Large Language Models for Intelligent Product Listing.

Kang Chen, Qing Zhang, Chengbao Lian, Yixin Ji, Xuwei Liu, Shuguang Han, Guoqiang Wu, Fei Huang, Jufeng Chen

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: EMNLP 2024, 2024

Exploring and Mitigating Shortcut Learning for Generative Large Language Models.

Zechen Sun, Yisheng Xiao, Juntao Li, Yixin Ji, Wenliang Chen, Min Zhang

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

Boosting LLM-based Relevance Modeling with Distribution-Aware Robust Learning.

Hong Liu, Saisai Gong, Yixin Ji, Kaixin Wu, Jia Xu, Jinjie Gu

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Demonstration Augmentation for Zero-shot In-context Learning.

Yi Su, Yunpeng Tai, Yixin Ji, Juntao Li, Yan Bowen, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Extraction and analysis of brain functional statuses for early mild cognitive impairment using variational auto-encoder.

Zhuqing Jiao, Yixin Ji, Peng Gao, Shui-Hua Wang

J. Ambient Intell. Humaniz. Comput., 2023

Test-Time Adaptation with Perturbation Consistency Learning.

Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang

CoRR, 2023

Beware of Model Collapse! Fast and Stable Test-time Adaptation for Robust Question Answering.

Yi Su, Yixin Ji, Juntao Li, Hai Ye, Min Zhang

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Isotropic Representation Can Improve Zero-Shot Cross-Lingual Transfer on Multilingual Language Models.

Yixin Ji, Jikai Wang, Juntao Li, Hai Ye, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Isotropy-Enhanced Conditional Masked Language Models.

Pei Guo, Yisheng Xiao, Juntao Li, Yixin Ji, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Early Exit with Disentangled Representation and Equiangular Tight Frame.

Yixin Ji, Jikai Wang, Juntao Li, Qiang Chen, Wenliang Chen, Min Zhang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2021

Dilated Convolutional Neural Network for Early Mild Cognitive Impairment Classification of Brain Functional Networks.

Zhuqing Jiao, Tingxuan Jiao, Yixin Ji, Zhengwang Xia, Yin Cao, Yu-Dong Zhang

J. Medical Imaging Health Informatics, 2021

Towards End-to-End Embroidery Style Generation: A Paired Dataset and Benchmark.

Jingwen Ye, Yixin Ji, Jie Song, Zunlei Feng, Mingli Song

Proceedings of the Pattern Recognition and Computer Vision - 4th Chinese Conference, 2021

2020

Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN.

Jingwen Ye, Yixin Ji, Xinchao Wang, Xin Gao, Mingli Song

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019

Amalgamating Filtered Knowledge: Learning Task-customized Student from Multi-task Teachers.

Jingwen Ye, Xinchao Wang, Yixin Ji, Kairi Ou, Mingli Song

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More.

Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

2018

Semantic Locality-Aware Deformable Network for Clothing Segmentation.

Wei Ji, Xi Li, Yueting Zhuang, Omar El Farouk Bourahla, Yixin Ji, Shihao Li, Jiabao Cui

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018