Qinyuan Ye

37 papers A* 4Journal 18Unranked 15
YearRankTypeTitle / Venue / Authors
2025 J jnl
ChEmREF: Evaluating Language Model Readiness for Chemical Emergency Response.
CoRR
Risha Surana, Qinyuan Ye, Swabha Swayamdipta
2025 J jnl
Function Induction and Task Generalization: An Interpretability Study with Off-by-One Addition.
CoRR
Qinyuan Ye, Robin Jia, Xiang Ren
2024 — conf
Cross-Task Generalization Abilities of Large Language Models.
NAACL (Student Research Workshop)
Qinyuan Ye
2024 — conf
Prompt Engineering a Prompt Engineer.
ACL (Findings)
Qinyuan Ye, Mohamed Ahmed, Reid Pryzant, Fereshte Khani
2024 A* conf
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack.
NeurIPS
Xiaoyue Xu, Qinyuan Ye, Xiang Ren
2024 J jnl
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack.
CoRR
Xiaoyue Xu, Qinyuan Ye, Xiang Ren
2023 — conf
Estimating Large Language Model Capabilities without Labeled Test Data.
EMNLP (Findings)
Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
2023 J jnl
Estimating Large Language Model Capabilities without Labeled Test Data.
CoRR
Harvey Yiyun Fu, Qinyuan Ye, Albert Xu, Xiang Ren, Robin Jia
2023 — conf
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning.
ACL (1)
Qinyuan Ye, Iz Beltagy, Matthew E. Peters, Xiang Ren, Hannaneh Hajishirzi
2023 — conf
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench.
EMNLP (Findings)
Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
2023 J jnl
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench.
CoRR
Qinyuan Ye, Harvey Yiyun Fu, Xiang Ren, Robin Jia
2023 — conf
LLM-driven Instruction Following: Progresses and Concerns.
EMNLP (Tutorial Abstracts)
Wenpeng Yin, Qinyuan Ye, Pengfei Liu, Xiang Ren, Hinrich Schütze
2023 J jnl
Prompt Engineering a Prompt Engineer.
CoRR
Qinyuan Ye, Maxamed Axmed, Reid Pryzant, Fereshte Khani
2022 J jnl
Eliciting Transferability in Multi-task Learning with Task-level Mixture-of-Experts.
CoRR
Qinyuan Ye, Juan Zha, Xiang Ren
2022 — conf
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts.
EMNLP (Findings)
Qinyuan Ye, Juan Zha, Xiang Ren
2022 — conf
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models.
NAACL-HLT
Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
2021 — conf
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP.
EMNLP (1)
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
2021 J jnl
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP.
CoRR
Qinyuan Ye, Bill Yuchen Lin, Xiang Ren
2021 — conf
Learning to Generate Task-Specific Adapters from Task Description.
ACL/IJCNLP (2)
Qinyuan Ye, Xiang Ren
2021 — conf
On the Influence of Masking Policies in Intermediate Pre-training.
EMNLP (1)
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021 J jnl
On the Influence of Masking Policies in Intermediate Pre-training.
CoRR
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2021 A* conf
Refining Language Models with Compositional Explanations.
NeurIPS
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
2021 J jnl
Refining Neural Networks with Compositional Explanations.
CoRR
Huihan Yao, Ying Chen, Qinyuan Ye, Xisen Jin, Xiang Ren
2021 A* conf
Semi-automated protocol disambiguation and code generation.
SIGCOMM
Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan
2021 J jnl
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models.
CoRR
Qinyuan Ye, Madian Khabsa, Mike Lewis, Sinong Wang, Xiang Ren, Aaron Jaech
2021 J jnl
Zero-shot Learning by Generating Task-specific Adapters.
CoRR
Qinyuan Ye, Xiang Ren
2020 — conf
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.
ACL (demo)
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
2020 J jnl
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.
CoRR
Dong-Ho Lee, Rahul Khanna, Bill Yuchen Lin, Jamin Chen, Seyeon Lee, Qinyuan Ye, Elizabeth Boschee, Leonardo Neves, Xiang Ren
2020 A* conf
Learning from Explanations with Neural Execution Tree.
ICLR
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
2020 J jnl
Semi-Automated Protocol Disambiguation and Code Generation.
CoRR
Jane Yen, Tamás Lévai, Qinyuan Ye, Xiang Ren, Ramesh Govindan, Barath Raghavan
2020 J jnl
Studying Strategically: Learning to Mask for Closed-book QA.
CoRR
Qinyuan Ye, Belinda Z. Li, Sinong Wang, Benjamin Bolte, Hao Ma, Wen-tau Yih, Xiang Ren, Madian Khabsa
2020 — conf
Teaching Machine Comprehension with Compositional Explanations.
EMNLP (Findings)
Qinyuan Ye, Xiao Huang, Elizabeth Boschee, Xiang Ren
2020 J jnl
Teaching Machine Comprehension with Compositional Explanations.
CoRR
Qinyuan Ye, Xiao Huang, Xiang Ren
2019 J jnl
Learning to Annotate: Modularizing Data Augmentation for Text Classifiers with Natural Language Explanations.
CoRR
Ziqi Wang, Yujia Qin, Wenxuan Zhou, Jun Yan, Qinyuan Ye, Leonardo Neves, Zhiyuan Liu, Xiang Ren
2019 — conf
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction.
EMNLP/IJCNLP (1)
Qinyuan Ye, Liyuan Liu, Maosen Zhang, Xiang Ren
2019 J jnl
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction.
CoRR
Maosen Zhang, Qinyuan Ye, Liyuan Liu, Xiang Ren
2019 — conf
Modeling Content Interaction in Information Diffusion with Pre-trained Sentence Embedding.
APSIPA
Qinyuan Ye, Yuejiang Li, Yan Chen, H. Vicky Zhao