Qinyuan Ye

According to our database1, Qinyuan Ye authored at least 24 papers between 2019 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
Prompt Engineering a Prompt Engineer.
CoRR, 2023

How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Estimating Large Language Model Capabilities without Labeled Test Data.
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.
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.
CoRR, 2022

Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models.
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.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021
Sparse Distillation: Speeding Up Text Classification by Using Bigger Models.
CoRR, 2021

Refining Neural Networks with Compositional Explanations.
CoRR, 2021

Zero-shot Learning by Generating Task-specific Adapters.
CoRR, 2021

Semi-automated protocol disambiguation and code generation.
Proceedings of the ACM SIGCOMM 2021 Conference, Virtual Event, USA, August 23-27, 2021., 2021

Refining Language Models with Compositional Explanations.
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.
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.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Learning to Generate Task-Specific Adapters from Task Description.
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.
CoRR, 2020

Teaching Machine Comprehension with Compositional Explanations.
CoRR, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.
CoRR, 2020

Learning from Explanations with Neural Execution Tree.
Proceedings of the 8th International Conference on Learning Representations, 2020

Teaching Machine Comprehension with Compositional Explanations.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation.
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.
CoRR, 2019

Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction.
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.
Proceedings of the 2019 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference, 2019


  Loading...