Yuning Mao
29 papers · 2018–2026 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (70) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Keyword Pioneer
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Dynamic Duo
(15)
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Topic Evolution
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Trend Setter
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Keyword Collector
(152)
Top co-authors
Research topics
Natural Language Processing
(20)
Machine Learning
(18)
Artificial Intelligence
(16)
Deep Learning
(13)
Core AI
(13)
Learning Types Β· Machine Learning
(11)
Generation
(9)
Learning Types Β· Deep Learning
(8)
Applications
(7)
Resources & Methods
(7)
Application Areas
(6)
Core Methods
(6)
Learning Paradigms
(5)
Reinforcement Learning
(4)
Methods
(4)
Keywords
large language model
(5)
zero-shot learning
(4)
text generation
(4)
reinforcement learning
(4)
pre-trained language model
(4)
soft prompt
(3)
prompt tuning
(3)
parameter-efficient fine-tuning
(3)
language model
(3)
safety fine-tuning
(2)
transfer learning
(2)
document-level relation extraction
(2)
parameter-efficient tuning
(2)
few-shot learning
(2)
adversarial prompt
(2)
semantic matching
(2)
adversarial robustness
(2)
instruction tuning
(2)
representation learning
(2)
text summarization
(2)
Papers
Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
ACL 2026
Extrapolating to Unknown Opinions Using LLMs
COLING 2025
Improving Model Factuality with Fine-grained Critique-based Evaluator
ACL 2025
M2PT: Multimodal Prompt Tuning for Zero-shot Instruction Learning
EMNLP 2024
MART: Improving LLM Safety with Multi-round Automatic Red-Teaming
NAACL 2024
Rainbow Teaming: Open-Ended Generation of Diverse Adversarial Prompts
NeurIPS 2024
Representation Deficiency in Masked Language Modeling
ICLR 2024
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models
EMNLP 2023
Generating Hashtags for Short-form Videos with Guided Signals
ACL 2023
LIMA: Less Is More for Alignment
NeurIPS 2023
Progressive Prompts: Continual Learning for Language Models
ICLR 2023
Residual Prompt Tuning: improving prompt tuning with residual reparameterization
ACL 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
EMNLP 2023
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
EMNLP 2023
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision
EMNLP 2022
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
ACL 2022
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
NAACL 2022
Towards a Unified Multi-Dimensional Evaluator for Text Generation
EMNLP 2022
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
ACL 2022
Unsupervised Multi-Granularity Summarization
EMNLP 2022
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text Generation
EMNLP 2021
Generation-Augmented Retrieval for Open-Domain Question Answering
ACL 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering
ACL 2021
Taxonomy Completion via Triplet Matching Network
AAAI 2021
Facet-Aware Evaluation for Extractive Summarization
ACL 2020
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
EMNLP 2020
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
Hierarchical Text Classification with Reinforced Label Assignment
EMNLP 2019
End-to-End Reinforcement Learning for Automatic Taxonomy Induction
ACL 2018