Qiushi Sun
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
31
Venues
7
Active years
2022–2026
Best venue rank
A*
Where they publish
Papers
31 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2026 | ACL | CodeEvo: Interaction-Driven Synthesis of Code-centric Data through Hybrid and Iterative Feedback. | Qiushi Sun, Jingyang Gong, Lei Li, Qipeng Guo, Fei Yuan |
| 2026 | ACL | OS-Sentinel: Towards Safety-Enhanced Mobile GUI Agents via Hybrid Validation in Realistic Workflows. | Qiushi Sun, Mukai Li, Zhoumianze Liu, Zhihui Xie, Fangzhi Xu, Zhangyue Yin, Kanzhi Cheng, Zehao Li, Zichen Ding, Qi Liu, Zhiyong Wu, Zhuosheng Zhang, Ben Kao, Lingpeng Kong |
| 2026 | ACL | OS-Symphony: A Holistic Framework for Robust and Generalist Computer-Using Agents. | Bowen Yang, Kaiming Jin, Zhenyu Wu, Zhaoyang Liu, Qiushi Sun, Zehao Li, JingJing Xie, Zhoumianze Liu, Fangzhi Xu, Kanzhi Cheng, Yian Wang, Qingyun Li, Yu Qiao, Zun Wang, Zichen Ding |
| 2026 | ACL | ARISE: An Adaptive Resolution-Aware Metric for Test-Time Scaling Evaluation in Large Reasoning Models. | Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Zhiyuan Yu, Qipeng Guo, Xuanjing Huang, Xipeng Qiu |
| 2025 | ACL | CapArena: Benchmarking and Analyzing Detailed Image Captioning in the LLM Era. | Kanzhi Cheng, Wenpo Song, Jiaxin Fan, Zheng Ma, Qiushi Sun, Fangzhi Xu, Chenyang Yan, Nuo Chen, Jianbing Zhang, Jiajun Chen |
| 2025 | ACL | AgentStore: Scalable Integration of Heterogeneous Agents As Specialized Generalist Computer Assistant. | Chengyou Jia, Minnan Luo, Zhuohang Dang, Qiushi Sun, Fangzhi Xu, Junlin Hu, Tianbao Xie, Zhiyong Wu |
| 2025 | ACL | OS-Genesis: Automating GUI Agent Trajectory Construction via Reverse Task Synthesis. | Qiushi Sun, Kanzhi Cheng, Zichen Ding, Chuanyang Jin, Yian Wang, Fangzhi Xu, Zhenyu Wu, Chengyou Jia, Liheng Chen, Zhoumianze Liu, Ben Kao, Guohao Li, Junxian He, Yu Qiao, Zhiyong Wu |
| 2025 | ACL | Genius: A Generalizable and Purely Unsupervised Self-Training Framework For Advanced Reasoning. | Fangzhi Xu, Hang Yan, Chang Ma, Haiteng Zhao, Qiushi Sun, Kanzhi Cheng, Junxian He, Jun Liu, Zhiyong Wu |
| 2025 | ACL | Interactive Evolution: A Neural-Symbolic Self-Training Framework For Large Language Models. | Fangzhi Xu, Qiushi Sun, Kanzhi Cheng, Jun Liu, Yu Qiao, Zhiyong Wu |
| 2025 | ACL | Dynamic and Generalizable Process Reward Modeling. | Zhangyue Yin, Qiushi Sun, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang |
| 2025 | ICLR | OS-ATLAS: Foundation Action Model for Generalist GUI Agents. | Zhiyong Wu, Zhenyu Wu, Fangzhi Xu, Yian Wang, Qiushi Sun, Chengyou Jia, Kanzhi Cheng, Zichen Ding, Liheng Chen, Paul Pu Liang, Yu Qiao |
| 2025 | NAACL | KS-Lottery: Finding Certified Lottery Tickets for Multilingual Transfer in Large Language Models. | Fei Yuan, Chang Ma, Shuai Yuan, Qiushi Sun, Lei Li |
| 2024 | ACL | SeeClick: Harnessing GUI Grounding for Advanced Visual GUI Agents. | Kanzhi Cheng, Qiushi Sun, Yougang Chu, Fangzhi Xu, Yantao Li, Jianbing Zhang, Zhiyong Wu |
| 2024 | ACL | Boosting Language Models Reasoning with Chain-of-Knowledge Prompting. | Jianing Wang, Qiushi Sun, Xiang Li, Ming Gao |
| 2024 | ACL | Symbol-LLM: Towards Foundational Symbol-centric Interface For Large Language Models. | Fangzhi Xu, Zhiyong Wu, Qiushi Sun, Siyu Ren, Fei Yuan, Shuai Yuan, Qika Lin, Yu Qiao, Jun Liu |
| 2024 | ACL | Reasoning in Flux: Enhancing Large Language Models Reasoning through Uncertainty-aware Adaptive Guidance. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Junqi Dai, Qinyuan Cheng, Xuanjing Huang, Xipeng Qiu |
| 2024 | COLING | Make Prompt-based Black-Box Tuning Colorful: Boosting Model Generalization from Three Orthogonal Perspectives. | Qiushi Sun, Chengcheng Han, Nuo Chen, Renyu Zhu, Jingyang Gong, Xiang Li, Ming Gao |
| 2024 | COLING | TransCoder: Towards Unified Transferable Code Representation Learning Inspired by Human Skills. | Qiushi Sun, Nuo Chen, Jianing Wang, Ming Gao, Xiang Li |
| 2024 | COLING | Structure-aware Fine-tuning for Code Pre-trained Models. | Jiayi Wu, Renyu Zhu, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao |
| 2024 | COLING | Aggregation of Reasoning: A Hierarchical Framework for Enhancing Answer Selection in Large Language Models. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Xiaonan Li, Tianxiang Sun, Cheng Chang, Qinyuan Cheng, Ding Wang, Xiaofeng Mou, Xipeng Qiu, Xuanjing Huang |
| 2024 | EMNLP | Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis. | Jianxiang Yu, Zichen Ding, Jiaqi Tan, Kangyang Luo, Zhenmin Weng, Chenghua Gong, Long Zeng, Renjing Cui, Chengcheng Han, Qiushi Sun, Zhiyong Wu, Yunshi Lan, Xiang Li |
| 2024 | EMNLP | Explicit Memory Learning with Expectation Maximization. | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Zhiyuan Zeng, Qinyuan Cheng, Xipeng Qiu, Xuanjing Huang |
| 2024 | IJCNN | Rethinking the Role of Structural Information: How It Enhances Code Representation Learning? | Qiushi Sun, Nuo Chen, Jianing Wang, Xiaoli Li |
| 2023 | ACL | When Gradient Descent Meets Derivative-Free Optimization: A Match Made in Black-Box Scenario. | Chengcheng Han, Liqing Cui, Renyu Zhu, Jianing Wang, Nuo Chen, Qiushi Sun, Xiang Li, Ming Gao |
| 2023 | ACL | Do Large Language Models Know What They Don't Know? | Zhangyue Yin, Qiushi Sun, Qipeng Guo, Jiawen Wu, Xipeng Qiu, Xuanjing Huang |
| 2023 | CIKM | HugNLP: A Unified and Comprehensive Library for Natural Language Processing. | Jianing Wang, Nuo Chen, Qiushi Sun, Wenkang Huang, Chengyu Wang, Ming Gao |
| 2023 | EMNLP | Evaluating and Enhancing the Robustness of Code Pre-trained Models through Structure-Aware Adversarial Samples Generation. | Nuo Chen, Qiushi Sun, Jianing Wang, Ming Gao, Xiaoli Li, Xiang Li |
| 2023 | EMNLP | Pass-Tuning: Towards Structure-Aware Parameter-Efficient Tuning for Code Representation Learning. | Nuo Chen, Qiushi Sun, Jianing Wang, Xiang Li, Ming Gao |
| 2023 | EMNLP | Uncertainty-aware Parameter-Efficient Self-training for Semi-supervised Language Understanding. | Jianing Wang, Qiushi Sun, Nuo Chen, Chengyu Wang, Jun Huang, Ming Gao, Xiang Li |
| 2023 | EMNLP | Exchange-of-Thought: Enhancing Large Language Model Capabilities through Cross-Model Communication. | Zhangyue Yin, Qiushi Sun, Cheng Chang, Qipeng Guo, Junqi Dai, Xuanjing Huang, Xipeng Qiu |
| 2022 | EMNLP | CAT-probing: A Metric-based Approach to Interpret How Pre-trained Models for Programming Language Attend Code Structure. | Nuo Chen, Qiushi Sun, Renyu Zhu, Xiang Li, Xuesong Lu, Ming Gao |