Qinyuan Ye

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 32

Top Topics

Text Classification

Top Venues

EMNLP (Findings)

Publications

Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani
Prompt Engineering a Prompt Engineer. ACL (Findings) (2024)
Xiaoyue Xu, Qinyuan Ye, Xiang Ren
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack. CoRR (2024)
Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. CoRR (2023)
Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
Estimating Large Language Model Capabilities without Labeled Test Data. EMNLP (Findings) (2023)
Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
Estimating Large Language Model Capabilities without Labeled Test Data. CoRR (2023)
Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani
Prompt Engineering a Prompt Engineer. CoRR (2023)
Qinyuan Ye, Iz Beltagy, Matthew Peters, Xiang Ren, Hannaneh Hajishirzi
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. ACL (1) (2023)
Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. EMNLP (Findings) (2023)
Qinyuan Ye, Juan Zha, Xiang Ren
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts. EMNLP (Findings) (2022)
Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models. NAACL-HLT (2022)
Qinyuan Ye, Juan Zha, Xiang Ren
Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts. CoRR (2022)
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
Refining Neural Networks with Compositional Explanations. CoRR (2021)
Qinyuan Ye, Xiang Ren
Zero-shot Learning by Generating Task-specific Adapters. CoRR (2021)
Qinyuan Ye, Xiang Ren
Learning to Generate Task-Specific Adapters from Task Description. ACL/IJCNLP (2) (2021)
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. CoRR (2021)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
On the Influence of Masking Policies in Intermediate Pre-training. EMNLP (1) (2021)
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
Refining Language Models with Compositional Explanations. NeurIPS (2021)
Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan
Semi-automated protocol disambiguation and code generation. SIGCOMM (2021)
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. EMNLP (1) (2021)
Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR (2021)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
On the Influence of Masking Policies in Intermediate Pre-training. CoRR (2021)
Qinyuan Ye, Xiao Huang, Xiang Ren
Teaching Machine Comprehension with Compositional Explanations. CoRR (2020)
Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren
Teaching Machine Comprehension with Compositional Explanations. EMNLP (Findings) (2020)
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. CoRR (2020)
Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan
Semi-Automated Protocol Disambiguation and Code Generation. CoRR (2020)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
Studying Strategically: Learning to Mask for Closed-book QA. CoRR (2020)
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
Learning from Explanations with Neural Execution Tree. ICLR (2020)
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation. ACL (demo) (2020)
Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. CoRR (2019)
Qinyuan Ye, Yuejiang Li, Yan Chen, H. Vicky Zhao
Modeling Content Interaction in Information Diffusion with Pre-trained Sentence Embedding. APSIPA (2019)
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. CoRR (2019)
Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. EMNLP/IJCNLP (1) (2019)