Yujia Qin

According to our database, Yujia Qin authored at least 48 papers between 2012 and 2024.

Collaborative distances:

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

2024

StableToolBench: Towards Stable Large-Scale Benchmarking on Tool Learning of Large Language Models.

Zhicheng Guo, Sijie Cheng, Hao Wang, Shihao Liang, Yujia Qin, Peng Li, Zhiyuan Liu, Maosong Sun, Yang Liu

CoRR, 2024

RepoAgent: An LLM-Powered Open-Source Framework for Repository-level Code Documentation Generation.

Qinyu Luo, Yining Ye, Shihao Liang, Zhong Zhang, Yujia Qin, Yaxi Lu, Yesai Wu, Xin Cong, Yankai Lin, Yingli Zhang, Xiaoyin Che, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Large Language Model-based Human-Agent Collaboration for Complex Task Solving.

Xueyang Feng, Zhiyuan Chen, Yujia Qin, Yankai Lin, Xu Chen, Zhiyuan Liu, Ji-Rong Wen

CoRR, 2024

Tell Me More! Towards Implicit User Intention Understanding of Language Model Driven Agents.

Cheng Qian, Bingxiang He, Zhong Zhuang, Jia Deng, Yujia Qin, Xin Cong, Zhong Zhang, Jie Zhou, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2024

UniMem: Towards a Unified View of Long-Context Large Language Models.

Junjie Fang, Likai Tang, Hongzhe Bi, Yujia Qin, Si Sun, Zhenyu Li, Haolun Li, Yongjian Li, Xin Cong, Yukun Yan, Xiaodong Shi, Sen Song, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2024

Investigate-Consolidate-Exploit: A General Strategy for Inter-Task Agent Self-Evolution.

Cheng Qian, Shihao Liang, Yujia Qin, Yining Ye, Xin Cong, Yankai Lin, Yesai Wu, Zhiyuan Liu, Maosong Sun

CoRR, 2024

DebugBench: Evaluating Debugging Capability of Large Language Models.

Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Zhiyuan Liu, Maosong Sun

CoRR, 2024

2023

Comparing Three Methods of Selecting Training Samples in Supervised Classification of Multispectral Remote Sensing Images.

Hongying Zhang, Jinxin He, Shengbo Chen, Ye Zhan, Yanyan Bai, Yujia Qin

Sensors, October, 2023

Parameter-efficient fine-tuning of large-scale pre-trained language models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

Nat. Mac. Intell., March, 2023

GitAgent: Facilitating Autonomous Agent with GitHub by Tool Extension.

Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Yujia Qin, Yining Ye, Yaxi Lu, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023

ProAgent: From Robotic Process Automation to Agentic Process Automation.

Yining Ye, Xin Cong, Shizuo Tian, Jiannan Cao, Hao Wang, Yujia Qin, Yaxi Lu, Heyang Yu, Huadong Wang, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023

ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks.

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

CoRR, 2023

Large Language Model as Autonomous Decision Maker.

Yining Ye, Xin Cong, Yujia Qin, Yankai Lin, Zhiyuan Liu, Maosong Sun

CoRR, 2023

AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors in Agents.

Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chen Qian, Chi-Min Chan, Yujia Qin, Yaxi Lu, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

CoRR, 2023

ToolLLM: Facilitating Large Language Models to Master 16000+ Real-world APIs.

Yujia Qin, Shihao Liang, Yining Ye, Kunlun Zhu, Lan Yan, Yaxi Lu, Yankai Lin, Xin Cong, Xiangru Tang, Bill Qian, Sihan Zhao, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Exploring Format Consistency for Instruction Tuning.

Shihao Liang, Kunlun Zhu, Runchu Tian, Yujia Qin, Huadong Wang, Xin Cong, Zhiyuan Liu, Xiaojiang Liu, Maosong Sun

CoRR, 2023

Arbitrary Few Parameters are Good Enough for Adapting Large-scale Pre-trained Language Models.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Zhiyuan Liu, Maosong Sun

CoRR, 2023

CREATOR: Disentangling Abstract and Concrete Reasonings of Large Language Models through Tool Creation.

Cheng Qian, Chi Han, Yi R. Fung, Yujia Qin, Zhiyuan Liu, Heng Ji

CoRR, 2023

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Zhi Zheng, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou

CoRR, 2023

Tool Learning with Foundation Models.

Yujia Qin, Shengding Hu, Yankai Lin, Weize Chen, Ning Ding, Ganqu Cui, Zheni Zeng, Yufei Huang, Chaojun Xiao, Chi Han, Yi Ren Fung, Yusheng Su, Huadong Wang, Cheng Qian, Runchu Tian, Kunlun Zhu, Shihao Liang, Xingyu Shen, Bokai Xu, Zhen Zhang, Yining Ye, Bowen Li, Ziwei Tang, Jing Yi, Yuzhang Zhu, Zhenning Dai, Lan Yan, Xin Cong, Yaxi Lu, Weilin Zhao, Yuxiang Huang, Junxi Yan, Xu Han, Xian Sun, Dahai Li, Jason Phang, Cheng Yang, Tongshuang Wu, Heng Ji, Zhiyuan Liu, Maosong Sun

CoRR, 2023

Human Emotion Knowledge Representation Emerges in Large Language Model and Supports Discrete Emotion Inference.

Ming Li, Yusheng Su, Hsiu-Yuan Huang, Jiali Cheng, Xin Hu, Xinmiao Zhang, Huadong Wang, Yujia Qin, Xiaozhi Wang, Zhiyuan Liu, Dan Zhang

CoRR, 2023

Exploring the Impact of Model Scaling on Parameter-Efficient Tuning.

Yusheng Su, Chi-Min Chan, Jiali Cheng, Yujia Qin, Yankai Lin, Shengding Hu, Zonghan Yang, Ning Ding, Xingzhi Sun, Guotong Xie, Zhiyuan Liu, Maosong Sun

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

CREATOR: Tool Creation for Disentangling Abstract and Concrete Reasoning of Large Language Models.

Cheng Qian, Chi Han, Yi Ren Fung, Yujia Qin, Zhiyuan Liu, Heng Ji

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

Enhancing Chat Language Models by Scaling High-quality Instructional Conversations.

Ning Ding, Yulin Chen, Bokai Xu, Yujia Qin, Shengding Hu, Zhiyuan Liu, Maosong Sun, Bowen Zhou

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

Recyclable Tuning for Continual Pre-training.

Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou

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

WebCPM: Interactive Web Search for Chinese Long-form Question Answering.

Yujia Qin, Zihan Cai, Dian Jin, Lan Yan, Shihao Liang, Kunlun Zhu, Yankai Lin, Xu Han, Ning Ding, Huadong Wang, Ruobing Xie, Fanchao Qi, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer.

Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu, Maosong Sun

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Delta Tuning.

Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

CoRR, 2022

Delta Tuning: A Comprehensive Study of Parameter Efficient Methods for Pre-trained Language Models.

Ning Ding, Yujia Qin, Guang Yang, Fuchao Wei, Zonghan Yang, Yusheng Su, Shengding Hu, Yulin Chen, Chi-Min Chan, Weize Chen, Jing Yi, Weilin Zhao, Xiaozhi Wang, Zhiyuan Liu, Hai-Tao Zheng, Jianfei Chen, Yang Liu, Jie Tang, Juanzi Li, Maosong Sun

CoRR, 2022

Moderate-fitting as a Natural Backdoor Defender for Pre-trained Language Models.

Biru Zhu, Yujia Qin, Ganqu Cui, Yangyi Chen, Weilin Zhao, Chong Fu, Yangdong Deng, Zhiyuan Liu, Jingang Wang, Wei Wu, Maosong Sun, Ming Gu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

ProQA: Structural Prompt-based Pre-training for Unified Question Answering.

Wanjun Zhong, Yifan Gao, Ning Ding, Yujia Qin, Zhiyuan Liu, Ming Zhou, Jiahai Wang, Jian Yin, Nan Duan

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

On Transferability of Prompt Tuning for Natural Language Processing.

Yusheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Huadong Wang, Kaiyue Wen, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Knowledge Inheritance for Pre-trained Language Models.

Yujia Qin, Yankai Lin, Jing Yi, Jiajie Zhang, Xu Han, Zhengyan Zhang, Yusheng Su, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Different Tunes Played with Equal Skill: Exploring a Unified Optimization Subspace for Parameter-Efficient Tuning.

Jing Yi, Weize Chen, Yujia Qin, Yankai Lin, Ning Ding, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Exploring Mode Connectivity for Pre-trained Language Models.

Yujia Qin, Cheng Qian, Jing Yi, Weize Chen, Yankai Lin, Xu Han, Zhiyuan Liu, Maosong Sun, Jie Zhou

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

FPT: Improving Prompt Tuning Efficiency via Progressive Training.

Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Pass off Fish Eyes for Pearls: Attacking Model Selection of Pre-trained Models.

Biru Zhu, Yujia Qin, Fanchao Qi, Yangdong Deng, Zhiyuan Liu, Maosong Sun, Ming Gu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

ELLE: Efficient Lifelong Pre-training for Emerging Data.

Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

bert2BERT: Towards Reusable Pretrained Language Models.

Cheng Chen, Yichun Yin, Lifeng Shang, Xin Jiang, Yujia Qin, Fengyu Wang, Zhi Wang, Xiao Chen, Zhiyuan Liu, Qun Liu

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

On Transferability of Prompt Tuning for Natural Language Understanding.

YuSheng Su, Xiaozhi Wang, Yujia Qin, Chi-Min Chan, Yankai Lin, Zhiyuan Liu, Peng Li, Juanzi Li, Lei Hou, Maosong Sun, Jie Zhou

CoRR, 2021

Exploring Low-dimensional Intrinsic Task Subspace via Prompt Tuning.

Yujia Qin, Xiaozhi Wang, YuSheng Su, Yankai Lin, Ning Ding, Zhiyuan Liu, Juanzi Li, Lei Hou, Peng Li, Maosong Sun, Jie Zhou

CoRR, 2021

CPM: A large-scale generative Chinese Pre-trained language model.

Zhengyan Zhang, Xu Han, Hao Zhou, Pei Ke, Yuxian Gu, Deming Ye, Yujia Qin, Yusheng Su, Haozhe Ji, Jian Guan, Fanchao Qi, Xiaozhi Wang, Yanan Zheng, Guoyang Zeng, Huanqi Cao, Shengqi Chen, Daixuan Li, Zhenbo Sun, Zhiyuan Liu, Minlie Huang, Wentao Han, Jie Tang, Juanzi Li, Xiaoyan Zhu, Maosong Sun

AI Open, 2021

ERICA: Improving Entity and Relation Understanding for Pre-trained Language Models via Contrastive Learning.

Yujia Qin, Yankai Lin, Ryuichi Takanobu, Zhiyuan Liu, Peng Li, Heng Ji, Minlie Huang, Maosong Sun, Jie Zhou

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Improving Sequence Modeling Ability of Recurrent Neural Networks via Sememes.

Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun

IEEE ACM Trans. Audio Speech Lang. Process., 2020

Learning from Explanations with Neural Execution Tree.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

Proceedings of the 8th International Conference on Learning Representations, 2020

2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

CoRR, 2019

Enhancing Recurrent Neural Networks with Sememes.

Yujia Qin, Fanchao Qi, Sicong Ouyang, Zhiyuan Liu, Cheng Yang, Yasheng Wang, Qun Liu, Maosong Sun

CoRR, 2019

2012

The Current and Future Potential Geographical Distribution of the Italian Locust, Calliptamus Italicus (Linnaeus) (Orthoptera: Acrididae) in China.

Yujia Qin, Zhihong Li, Li Zhao, Glenn Fowler, Yan Fang

Proceedings of the Computer and Computing Technologies in Agriculture VI, 2012