Qinyuan Ye
19 papers · 2019–2024 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+8 more ↓ Show less ↑
🏃 Academic Marathon (5) 🌍 Conference Polyglot (6) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐝 Cross-Pollinator (13)
🏃
Academic Marathon
(5)
🤝
Dynamic Duo
(17)
💎
Century Club
(19)
🔥
Unstoppable
(6)
⚡
Prolific Year
(5)
📈
Trend Setter
❓
The Questioner
🗃️
Keyword Collector
(76)
Conferences
EMNLP (8)
ACL (4)
IJCNLP (2)
NAACL (2)
NIPS (2)
ICLR (1)
Top co-authors
Keywords
few-shot learning
(6)
large language model
(4)
in-context learning
(3)
relation extraction
(3)
domain adaptation
(2)
cross-task generalization
(2)
task description
(2)
bias adjustment
(2)
transformer model
(2)
compositional explanation
(2)
distant supervision
(2)
label distribution
(2)
text-to-text transformer
(2)
adapter generation
(2)
transfer learning
(2)
knowledge distillation
(1)
text classification
(1)
multi-task learning
(1)
zero-shot learning
(1)
sentiment analysis
(1)
Papers
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
NIPS 2024
Prompt Engineering a Prompt Engineer
ACL 2024
Cross-Task Generalization Abilities of Large Language Models
NAACL 2024
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
EMNLP 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
ACL 2023
Estimating Large Language Model Capabilities without Labeled Test Data
EMNLP 2023
LLM-driven Instruction Following: Progresses and Concerns
EMNLP 2023
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
NAACL 2022
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts
EMNLP 2022
On the Influence of Masking Policies in Intermediate Pre-training
EMNLP 2021
Learning to Generate Task-Specific Adapters from Task Description
ACL 2021
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
EMNLP 2021
Refining Language Models with Compositional Explanations
NIPS 2021
Learning to Generate Task-Specific Adapters from Task Description
IJCNLP 2021
Learning from Explanations with Neural Execution Tree
ICLR 2020
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
ACL 2020
Teaching Machine Comprehension with Compositional Explanations
EMNLP 2020
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
IJCNLP 2019
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
EMNLP 2019