Bosheng Ding
11 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Research topics
Natural Language Processing
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Artificial Intelligence
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Machine Learning
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Deep Learning
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Core AI
(4)
Generation
(4)
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Keywords
large language model
(5)
data augmentation
(3)
cross-lingual transfer
(2)
synthetic data generation
(2)
zero-shot learning
(2)
in-context learning
(2)
retrieval-augmented generation
(2)
named entity recognition
(2)
logical reasoning
(1)
text classification
(1)
transfer learning
(1)
low-resource learning
(1)
text generation
(1)
data annotation
(1)
natural language processing
(1)
part-of-speech tagging
(1)
task-oriented dialogue
(1)
knowledge distillation
(1)
multimodal learning
(1)
text annotation
(1)
Papers
Beyond Output Matching: Bidirectional Alignment for Enhanced In-Context Learning
ACL 2025
Relevant or Random: Can LLMs Truly Perform Analogical Reasoning?
ACL 2025
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources
ICLR 2024
Data Augmentation using LLMs: Data Perspectives, Learning Paradigms and Challenges
ACL 2024
Exploring Self-supervised Logic-enhanced Training for Large Language Models
NAACL 2024
Is GPT-3 a Good Data Annotator?
ACL 2023
Retrieving Multimodal Information for Augmented Generation: A Survey
EMNLP 2023
GlobalWoZ: Globalizing MultiWoZ to Develop Multilingual Task-Oriented Dialogue Systems
ACL 2022
MulDA: A Multilingual Data Augmentation Framework for Low-Resource Cross-Lingual NER
ACL 2021
On the Effectiveness of Adapter-based Tuning for Pretrained Language Model Adaptation
ACL 2021
DAGA: Data Augmentation with a Generation Approach for Low-resource Tagging Tasks
EMNLP 2020