Modeling Content Interaction in Information Diffusion with Pre-trained Sentence Embedding. - Qinyuan Ye; Yuejiang Li; Yan Chen 007; H. Vicky Zhao (APSIPA, 2019)

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. - Qinyuan Ye; Liyuan Liu; Maosen Zhang; Xiang Ren 001 (EMNLP/IJCNLP (1), 2019)

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. - Ziqi Wang 003; Yujia Qin; Wenxuan Zhou; Jun Yan 001; Qinyuan Ye; Leonardo Neves; Zhiyuan Liu 001; Xiang Ren 001 (CoRR, 2019)

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 001 (ACL (demo), 2020)

Teaching Machine Comprehension with Compositional Explanations. - Qinyuan Ye; Xiao Huang; Elizabeth Boschee; Xiang Ren 001 (EMNLP (Findings), 2020)

Learning from Explanations with Neural Execution Tree. - Ziqi Wang 003; Yujia Qin; Wenxuan Zhou; Jun Yan 012; Qinyuan Ye; Leonardo Neves; Zhiyuan Liu 001; Xiang Ren 001 (ICLR, 2020)

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. - Dong-Ho Lee; Rahul Khanna; Bill Yuchen Lin; Jamin Chen; Seyeon Lee; Qinyuan Ye; Elizabeth Boschee; Leonardo Neves; Xiang Ren 001 (CoRR, 2020)

Teaching Machine Comprehension with Compositional Explanations. - Qinyuan Ye; Xiao Huang; Xiang Ren 001 (CoRR, 2020)

Studying Strategically: Learning to Mask for Closed-book QA. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (CoRR, 2020)

Learning to Generate Task-Specific Adapters from Task Description. - Qinyuan Ye; Xiang Ren 001 (ACL/IJCNLP (2), 2021)

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. - Qinyuan Ye; Bill Yuchen Lin; Xiang Ren 001 (EMNLP (1), 2021)

On the Influence of Masking Policies in Intermediate Pre-training. - Qinyuan Ye; Belinda Z. Li; Sinong Wang; Benjamin Bolte; Hao Ma 001; Wen-tau Yih; Xiang Ren 001; Madian Khabsa (EMNLP (1), 2021)

Refining Language Models with Compositional Explanations. - Huihan Yao; Ying Chen; Qinyuan Ye; Xisen Jin; Xiang Ren 001 (NeurIPS, 2021)

Semi-automated protocol disambiguation and code generation. - Jane Yen; Tamás Lévai; Qinyuan Ye; Xiang Ren 001; Ramesh Govindan; Barath Raghavan (SIGCOMM, 2021)

Zero-shot Learning by Generating Task-specific Adapters. - Qinyuan Ye; Xiang Ren 001 (CoRR, 2021)

Refining Neural Networks with Compositional Explanations. - Huihan Yao; Ying Chen; Qinyuan Ye; Xisen Jin; Xiang Ren 001 (CoRR, 2021)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (CoRR, 2021)

Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts. - Qinyuan Ye; Juan Zha; Xiang Ren 001 (EMNLP (Findings), 2022)

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. - Qinyuan Ye; Madian Khabsa; Mike Lewis; Sinong Wang; Xiang Ren 001; Aaron Jaech (NAACL-HLT, 2022)

Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts. - Qinyuan Ye; Juan Zha; Xiang Ren 001 (CoRR, 2022)

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. - Qinyuan Ye; Iz Beltagy; Matthew E. Peters; Xiang Ren 001; Hannaneh Hajishirzi (ACL (1), 2023)

Estimating Large Language Model Capabilities without Labeled Test Data. - Harvey Yiyun Fu; Qinyuan Ye; Albert Xu; Xiang Ren 001; Robin Jia (EMNLP (Findings), 2023)

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. - Qinyuan Ye; Harvey Yiyun Fu; Xiang Ren 001; Robin Jia (EMNLP (Findings), 2023)

Prompt Engineering a Prompt Engineer. - Qinyuan Ye; Maxamed Axmed; Reid Pryzant; Fereshte Khani (CoRR, 2023)

Prompt Engineering a Prompt Engineer. - Qinyuan Ye; Mohamed Ahmed; Reid Pryzant; Fereshte Khani (ACL (Findings), 2024)

Cross-Task Generalization Abilities of Large Language Models. - Qinyuan Ye (NAACL (Student Research Workshop), 2024)

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack. - Xiaoyue Xu; Qinyuan Ye; Xiang Ren 001 (NeurIPS, 2024)

Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition. - Qinyuan Ye; Robin Jia; Xiang Ren 001 (CoRR, 2025)