| 2024 | ACL | Prompt Engineering a Prompt Engineer. | Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani |
| 2024 | NAACL | Cross-Task Generalization Abilities of Large Language Models. | Qinyuan Ye |
| 2023 | ACL | FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. | Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi |
| 2023 | EMNLP | LLM-driven Instruction Following: Progresses and Concerns. | Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren, Hinrich Schtze |
| 2023 | EMNLP | Estimating Large Language Model Capabilities without Labeled Test Data. | Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia |
| 2023 | EMNLP | How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. | Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia |
| 2022 | EMNLP | Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts. | Qinyuan Ye, Juan Zha, Xiang Ren |
| 2022 | NAACL | Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. | Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech |
| 2021 | ACL | Learning to Generate Task-Specific Adapters from Task Description. | Qinyuan Ye, Xiang Ren |
| 2021 | EMNLP | CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. | Qinyuan Ye, Bill Yuchen Lin, Xiang Ren |
| 2021 | EMNLP | On the Influence of Masking Policies in Intermediate Pre-training. | Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa |
| 2021 | SIGCOMM | Semi-automated protocol disambiguation and code generation. | Jane Yen, Tams Lvai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan |
| 2020 | ACL | LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. | Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren |
| 2020 | EMNLP | Teaching Machine Comprehension with Compositional Explanations. | Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren |
| 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 |
| 2019 | EMNLP | Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. | Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren |