Yiqing Xie
11 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (34)
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Century Club · Bronze
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Research topics
Deep Learning
(7)
Machine Learning
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Natural Language Processing
(7)
Artificial Intelligence
(6)
Core AI
(5)
Generation
(5)
Application Areas
(4)
Applications · Natural Language Processing
(4)
Learning Types · Machine Learning
(4)
Learning Types · Deep Learning
(4)
Computer Science
(3)
Applications · Computer Science
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Core Methods
(2)
Learning Paradigms
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Reinforcement Learning
(1)
Keywords
code generation
(4)
language model
(2)
text generation
(2)
code retrieval
(2)
large language model
(2)
in-context learning
(1)
data augmentation
(1)
link prediction
(1)
semantic analysis
(1)
neighborhood aggregation
(1)
transfer learning
(1)
program synthesis
(1)
factuality evaluation
(1)
software engineering
(1)
node embedding
(1)
information extraction
(1)
node classification
(1)
zero-shot generalization
(1)
benchmark evaluation
(1)
reinforcement learning
(1)
Papers
An Empirical Study on Strong-Weak Model Collaboration for Repo-level Code Generation
EMNLP 2025
CodeRAG-Bench: Can Retrieval Augment Code Generation?
NAACL 2025
Improving Model Factuality with Fine-grained Critique-based Evaluator
ACL 2025
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
EMNLP 2025
DocLens: Multi-aspect Fine-grained Evaluation for Medical Text Generation
ACL 2024
Data Augmentation for Code Translation with Comparable Corpora and Multiple References
EMNLP 2023
Model-Generated Pretraining Signals Improves Zero-Shot Generalization of Text-to-Text Transformers
ACL 2023
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
ACL 2022
Open-Vocabulary Argument Role Prediction For Event Extraction
EMNLP 2022
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
When Do GNNs Work: Understanding and Improving Neighborhood Aggregation
IJCAI 2020