Yujia Qin
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
28
Venues
5
Active years
2020–2025
Best venue rank
A*
Where they publish
Papers
28 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | ACL | Enhancing Open-Domain Task-Solving Capability of LLMs via Autonomous Tool Integration from GitHub. | Bohan Lyu, Xin Cong, Heyang Yu, Pan Yang, Cheng Qian, Zihe Wang, Yujia Qin, Yining Ye, Yaxi Lu, Chen Qian, Zhong Zhang, Yukun Yan, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | ACL | GUICourse: From General Vision Language Model to Versatile GUI Agent. | Wentong Chen, Junbo Cui, Jinyi Hu, Yujia Qin, Junjie Fang, Yue Zhao, Chongyi Wang, Jun Liu, Guirong Chen, Yupeng Huo, Yuan Yao, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2025 | ICLR | Rational Decision-Making Agent with Learning Internal Utility Judgment. | Yining Ye, Xin Cong, Shizuo Tian, Yujia Qin, Chong Liu, Yankai Lin, Zhiyuan Liu, Maosong Sun |
| 2024 | ACL | 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 |
| 2024 | ACL | 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 |
| 2024 | ACL | DebugBench: Evaluating Debugging Capability of Large Language Models. | Runchu Tian, Yining Ye, Yujia Qin, Xin Cong, Yankai Lin, Yinxu Pan, Yesai Wu, Haotian Hui, Weichuan Liu, Zhiyuan Liu, Maosong Sun |
| 2024 | EMNLP | 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 |
| 2024 | EMNLP | 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 |
| 2024 | ICLR | AgentVerse: Facilitating Multi-Agent Collaboration and Exploring Emergent Behaviors. | Weize Chen, Yusheng Su, Jingwei Zuo, Cheng Yang, Chenfei Yuan, Chi-Min Chan, Heyang Yu, Yaxi Lu, Yi-Hsin Hung, Chen Qian, Yujia Qin, Xin Cong, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2024 | ICLR | 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, Lauren Hong, Runchu Tian, Ruobing Xie, Jie Zhou, Mark Gerstein, Dahai Li, Zhiyuan Liu, Maosong Sun |
| 2024 | SIGIR | Empowering Large Language Models: Tool Learning for Real-World Interaction. | Hongru Wang, Yujia Qin, Yankai Lin, Jeff Z. Pan, Kam-Fai Wong |
| 2023 | ACL | Parameter-efficient Weight Ensembling Facilitates Task-level Knowledge Transfer. | Xingtai Lv, Ning Ding, Yujia Qin, Zhiyuan Liu, Maosong Sun |
| 2023 | ACL | 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 |
| 2023 | ACL | Recyclable Tuning for Continual Pre-training. | Yujia Qin, Cheng Qian, Xu Han, Yankai Lin, Huadong Wang, Ruobing Xie, Zhiyuan Liu, Maosong Sun, Jie Zhou |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2023 | EMNLP | 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 |
| 2022 | ACL | 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 |
| 2022 | ACL | ELLE: Efficient Lifelong Pre-training for Emerging Data. | Yujia Qin, Jiajie Zhang, Yankai Lin, Zhiyuan Liu, Peng Li, Maosong Sun, Jie Zhou |
| 2022 | ACL | 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 |
| 2022 | EMNLP | FPT: Improving Prompt Tuning Efficiency via Progressive Training. | Yufei Huang, Yujia Qin, Huadong Wang, Yichun Yin, Maosong Sun, Zhiyuan Liu, Qun Liu |
| 2022 | EMNLP | 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 |
| 2022 | EMNLP | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | 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 |
| 2022 | NAACL | 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 |
| 2021 | ACL | 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 |
| 2020 | ICLR | Learning from Explanations with Neural Execution Tree. | Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren |