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Qinyuan Ye
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2020 – today
- 2024
- [c17]Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani:
Prompt Engineering a Prompt Engineer. ACL (Findings) 2024: 355-385 - [c16]Qinyuan Ye:
Cross-Task Generalization Abilities of Large Language Models. NAACL (Student Research Workshop) 2024: 255-262 - [i16]Xiaoyue Xu, Qinyuan Ye, Xiang Ren:
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack. CoRR abs/2407.16695 (2024) - 2023
- [c15]Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi:
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning. ACL (1) 2023: 8158-8185 - [c14]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: 7493-7517 - [c13]Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
Estimating Large Language Model Capabilities without Labeled Test Data. EMNLP (Findings) 2023: 9530-9546 - [i15]Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia:
Estimating Large Language Model Capabilities without Labeled Test Data. CoRR abs/2305.14802 (2023) - [i14]Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia:
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench. CoRR abs/2305.14947 (2023) - [i13]Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani:
Prompt Engineering a Prompt Engineer. CoRR abs/2311.05661 (2023) - 2022
- [c12]Qinyuan Ye, Juan Zha, Xiang Ren:
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts. EMNLP (Findings) 2022: 2567-2592 - [c11]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: 2361-2375 - [i12]Qinyuan Ye, Juan Zha, Xiang Ren:
Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts. CoRR abs/2205.12701 (2022) - 2021
- [c10]Qinyuan Ye, Xiang Ren:
Learning to Generate Task-Specific Adapters from Task Description. ACL/IJCNLP (2) 2021: 646-653 - [c9]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. EMNLP (1) 2021: 7163-7189 - [c8]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: 7190-7202 - [c7]Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren:
Refining Language Models with Compositional Explanations. NeurIPS 2021: 8954-8967 - [c6]Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan:
Semi-automated protocol disambiguation and code generation. SIGCOMM 2021: 272-286 - [i11]Qinyuan Ye, Xiang Ren:
Zero-shot Learning by Generating Task-specific Adapters. CoRR abs/2101.00420 (2021) - [i10]Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren:
Refining Neural Networks with Compositional Explanations. CoRR abs/2103.10415 (2021) - [i9]Qinyuan Ye, Bill Yuchen Lin, Xiang Ren:
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP. CoRR abs/2104.08835 (2021) - [i8]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 abs/2104.08840 (2021) - [i7]Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech:
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models. CoRR abs/2110.08536 (2021) - 2020
- [c5]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: 372-379 - [c4]Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren:
Teaching Machine Comprehension with Compositional Explanations. EMNLP (Findings) 2020: 1599-1615 - [c3]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 - [i6]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 abs/2004.07499 (2020) - [i5]Qinyuan Ye, Xiao Huang, Xiang Ren:
Teaching Machine Comprehension with Compositional Explanations. CoRR abs/2005.00806 (2020) - [i4]Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan:
Semi-Automated Protocol Disambiguation and Code Generation. CoRR abs/2010.04801 (2020) - [i3]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 abs/2012.15856 (2020)
2010 – 2019
- 2019
- [c2]Qinyuan Ye, Yuejiang Li, Yan Chen, H. Vicky Zhao:
Modeling Content Interaction in Information Diffusion with Pre-trained Sentence Embedding. APSIPA 2019: 499-507 - [c1]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: 3839-3848 - [i2]Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren:
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction. CoRR abs/1904.09331 (2019) - [i1]Ziqi Wang, Yujia Qin, Wenxuan Zhou
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations. CoRR abs/1911.01352 (2019)
Coauthor Index
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last updated on 2024-10-10 21:13 CEST by the dblp team
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