Yuning Mao
32 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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π Academic Marathon (7) π Interdisciplinary Bridge π§ Keyword Pioneer π Conference Polyglot (8) π Cross-Pollinator (3)
π
Cross-Pollinator
(3)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(73)
π§¬
Topic Evolution
π€
Dynamic Duo
(18)
π
Keyword Champion
(2)
π
Trend Setter
π
Century Club
(31)
π₯
Unstoppable
(8)
β‘
Prolific Year
(6)
ποΈ
Keyword Collector
(146)
Conferences
EMNLP (11)
ACL (10)
IJCNLP (3)
ICLR (2)
NAACL (2)
NIPS (2)
AAAI (1)
COLING (1)
Top co-authors
Keywords
reinforcement learning
(5)
large language model
(5)
text generation
(4)
zero-shot learning
(4)
pre-trained language model
(4)
prompt tuning
(3)
adversarial robustness
(2)
parameter-efficient tuning
(2)
soft prompt
(2)
instruction tuning
(2)
semantic matching
(2)
parameter-efficient fine-tuning
(2)
markov decision process
(2)
adversarial prompt
(2)
few-shot learning
(2)
policy learning
(2)
text summarization
(2)
hierarchical text classification
(2)
transfer learning
(2)
dense retrieval
(2)
Papers
Knowledge Control for Responsible Generative AI: Bridging Academia, Industry, and Society
ACL 2026
Improving Model Factuality with Fine-grained Critique-based Evaluator
ACL 2025
Extrapolating to Unknown Opinions Using LLMs
COLING 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
NIPS 2024
Representation Deficiency in Masked Language Modeling
ICLR 2024
LIMA: Less Is More for Alignment
NIPS 2023
Generating Hashtags for Short-form Videos with Guided Signals
ACL 2023
Residual Prompt Tuning: improving prompt tuning with residual reparameterization
ACL 2023
APrompt: Attention Prompt Tuning for Efficient Adaptation of Pre-trained Language Models
EMNLP 2023
XLM-V: Overcoming the Vocabulary Bottleneck in Multilingual Masked Language Models
EMNLP 2023
RoAST: Robustifying Language Models via Adversarial Perturbation with Selective Training
EMNLP 2023
Progressive Prompts: Continual Learning for Language Models
ICLR 2023
UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning
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
CiteSum: Citation Text-guided Scientific Extreme Summarization and Domain Adaptation with Limited Supervision
EMNLP 2022
Unsupervised Multi-Granularity Summarization
EMNLP 2022
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
ACL 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
IJCNLP 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering
IJCNLP 2021
Reader-Guided Passage Reranking for Open-Domain Question Answering
ACL 2021
Generation-Augmented Retrieval for Open-Domain Question Answering
ACL 2021
Taxonomy Completion via Triplet Matching Network
AAAI 2021
Multi-document Summarization with Maximal Marginal Relevance-guided Reinforcement Learning
EMNLP 2020
Learning Collaborative Agents with Rule Guidance for Knowledge Graph Reasoning
EMNLP 2020
Facet-Aware Evaluation for Extractive Summarization
ACL 2020
Hierarchical Text Classification with Reinforced Label Assignment
IJCNLP 2019
Hierarchical Text Classification with Reinforced Label Assignment
EMNLP 2019
End-to-End Reinforcement Learning for Automatic Taxonomy Induction
ACL 2018