Qinyuan Ye
17 papers · 2019–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
Jump to papers ↓+7 more ↓ Show less ↑
πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
π§¬
Topic Evolution
π€
Dynamic Duo
(15)
π
Trend Setter
β
The Questioner
π
Century Club Β· Bronze
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(78)
Venues
Top co-authors
Research topics
Natural Language Processing
(14)
Machine Learning
(13)
Artificial Intelligence
(10)
Learning Types Β· Machine Learning
(9)
Deep Learning
(8)
Learning Paradigms Β· Artificial Intelligence
(8)
Resources & Methods
(8)
Applications
(7)
Learning Types Β· Deep Learning
(6)
Core AI
(5)
Application Areas
(3)
Architectures
(2)
Learning Paradigms Β· Machine Learning
(2)
Optimization & Theory Β· Deep Learning
(2)
Optimization & Theory Β· Machine Learning
(2)
Keywords
few-shot learning
(6)
large language model
(4)
relation extraction
(3)
in-context learning
(3)
text classification
(2)
transfer learning
(2)
compositional explanation
(2)
cross-task generalization
(2)
transformer model
(2)
data augmentation
(1)
knowledge distillation
(1)
multi-task learning
(1)
zero-shot learning
(1)
sentiment analysis
(1)
sequence labeling
(1)
semi-supervised learning
(1)
model evaluation
(1)
prompt engineering
(1)
named entity recognition
(1)
domain adaptation
(1)
Papers
Cross-Task Generalization Abilities of Large Language Models
NAACL 2024
Prompt Engineering a Prompt Engineer
ACL 2024
Stress-Testing Long-Context Language Models with Lifelong ICL and Task Haystack
NeurIPS 2024
Estimating Large Language Model Capabilities without Labeled Test Data
EMNLP 2023
FiD-ICL: A Fusion-in-Decoder Approach for Efficient In-Context Learning
ACL 2023
How Predictable Are Large Language Model Capabilities? A Case Study on BIG-bench
EMNLP 2023
LLM-driven Instruction Following: Progresses and Concerns
EMNLP 2023
Eliciting and Understanding Cross-task Skills with Task-level Mixture-of-Experts
EMNLP 2022
Sparse Distillation: Speeding Up Text Classification by Using Bigger Student Models
NAACL 2022
CrossFit: A Few-shot Learning Challenge for Cross-task Generalization in NLP
EMNLP 2021
Learning to Generate Task-Specific Adapters from Task Description
ACL 2021
On the Influence of Masking Policies in Intermediate Pre-training
EMNLP 2021
Refining Language Models with Compositional Explanations
NeurIPS 2021
LEAN-LIFE: A Label-Efficient Annotation Framework Towards Learning from Explanation
ACL 2020
Learning from Explanations with Neural Execution Tree
ICLR 2020
Teaching Machine Comprehension with Compositional Explanations
EMNLP 2020
Looking Beyond Label Noise: Shifted Label Distribution Matters in Distantly Supervised Relation Extraction
EMNLP 2019