Qinyuan Ye

According to our database, Qinyuan Ye authored at least 27 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack.

Xiaoyue Xu, Qinyuan Ye, Xiang Ren

CoRR, 2024

Cross-Task Generalization Abilities of Large Language Models.

Qinyuan Ye

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop, 2024

Prompt Engineering a Prompt Engineer.

Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Prompt Engineering a Prompt Engineer.

Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani

CoRR, 2023

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench.

Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Estimating Large Language Model Capabilities without Labeled Test Data.

Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning.

Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts.

Qinyuan Ye, Juan Zha, Xiang Ren

CoRR, 2022

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models.

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts.

Qinyuan Ye, Juan Zha, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Sparse Distillation: Speeding Up Text Classification by Using Bigger Models.

Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech

CoRR, 2021

Refining Neural Networks with Compositional Explanations.

Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren

CoRR, 2021

Zero-shot Learning by Generating Task-specific Adapters.

Qinyuan Ye, Xiang Ren

CoRR, 2021

Semi-automated protocol disambiguation and code generation.

Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan

Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

Refining Language Models with Compositional Explanations.

Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

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

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP.

Qinyuan Ye, Bill Yuchen Lin, Xiang Ren

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Generate Task-Specific Adapters from Task Description.

Qinyuan Ye, Xiang Ren

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Studying Strategically: Learning to Mask for Closed-book QA.

Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa

CoRR, 2020

Teaching Machine Comprehension with Compositional Explanations.

Qinyuan Ye, Xiao Huang, Xiang Ren

CoRR, 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

CoRR, 2020

Learning from Explanations with Neural Execution Tree.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

Proceedings of the 8th International Conference on Learning Representations, 2020

Teaching Machine Comprehension with Compositional Explanations.

Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

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

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2020

2019

Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.

Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren

CoRR, 2019

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction.

Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Modeling Content Interaction in Information Diffusion with Pre-trained Sentence Embedding.

Qinyuan Ye, Yuejiang Li, Yan Chen, H. Vicky Zhao

Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019