Haibo Ding
17 papers · 2015–2026 · 6 venues · across top CS/AI venues
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Research topics
Machine Learning
(13)
Natural Language Processing
(11)
Artificial Intelligence
(9)
Learning Types · Machine Learning
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Core AI
(7)
Deep Learning
(6)
Applications
(6)
Application Areas
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Core Methods
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Generation
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Optimization & Theory
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Learning Paradigms
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Learning Types · Deep Learning
(2)
Keywords
named entity recognition
(3)
weakly supervised learning
(3)
text classification
(2)
text generation
(2)
zero-shot learning
(2)
prompt engineering
(2)
human needs categorization
(2)
graph neural network
(2)
large language model
(2)
information retrieval
(1)
natural language processing
(1)
question answering
(1)
information extraction
(1)
domain adaptation
(1)
document retrieval
(1)
factual knowledge
(1)
rule-based learning
(1)
bidirectional attention
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weak supervision
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attention mechanism
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Papers
Diffusion Language Model Inference with Monte Carlo Tree Search
EACL 2026
Learning to Ideate for Machine Learning Engineering Agents
EACL 2026
PromptPrism: A Linguistically-Inspired Taxonomy for Prompts
EACL 2026
A Systematic Survey of Automatic Prompt Optimization Techniques
EMNLP 2025
Black-Box Visual Prompt Engineering for Mitigating Object Hallucination in Large Vision Language Models
NAACL 2025
CSPLADE: Learned Sparse Retrieval with Causal Language Models
IJCNLP 2025
IPR: Intelligent Prompt Routing with User-Controlled Quality-Cost Trade-offs
EMNLP 2025
SLOT: Structuring the Output of Large Language Models
EMNLP 2025
Retrieval as Attention: End-to-end Learning of Retrieval and Reading within a Single Transformer
EMNLP 2022
Understanding and Improving Zero-shot Multi-hop Reasoning in Generative Question Answering
COLING 2022
Explicitly Capturing Relations between Entity Mentions via Graph Neural Networks for Domain-specific Named Entity Recognition
ACL 2021
GLaRA: Graph-based Labeling Rule Augmentation for Weakly Supervised Named Entity Recognition
EACL 2021
Weakly Supervised Named Entity Tagging with Learnable Logical Rules
ACL 2021
Learning to Classify Events from Human Needs Category Descriptions
EMNLP 2020
X-FACTR: Multilingual Factual Knowledge Retrieval from Pretrained Language Models
EMNLP 2020
Human Needs Categorization of Affective Events Using Labeled and Unlabeled Data
NAACL 2018
Extracting Information about Medication Use from Veterinary Discussions
NAACL 2015