Liqun Liu
12 papers · 2019–2026 · 4 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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🗺️ Taxonomy Completionist (30) 🏃 Academic Marathon · Sprint 🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Silver 🐣 Hot Topic Early Bird
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Keyword Pioneer
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Mega-Team · Squad
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Renaissance Researcher
(5)
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Prolific Year · Productive
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Century Club · Bronze
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Research topics
Artificial Intelligence
(10)
Core AI
(10)
Deep Learning
(5)
Natural Language Processing
(4)
Applications
(4)
Machine Learning
(3)
Reinforcement Learning
(3)
Learning Types · Machine Learning
(3)
Learning Types · Deep Learning
(3)
Methods
(3)
Computer Vision
(2)
Architectures
(2)
Processing
(2)
Knowledge & Reasoning
(1)
Core Methods
(1)
Keywords
reinforcement learning
(4)
large language model
(2)
multi-agent system
(2)
neural network
(2)
retrieval-augmented generation
(2)
curriculum reinforcement learning
(2)
hierarchical classification
(1)
text classification
(1)
adversarial learning
(1)
model architecture
(1)
video understanding
(1)
image editing
(1)
text-to-image generation
(1)
natural language understanding
(1)
multi-label classification
(1)
transfer learning
(1)
vision-language model
(1)
generative model
(1)
text prompt
(1)
multimodal learning
(1)
Papers
ARGUS: Policy-Adaptive Ad Governance via Evolving Reinforcement with Adversarial Umpiring
ACL 2026
Disentangling to Re-couple: Resolving the Similarity-Controllability Paradox in Subject-Driven Text-to-Image Generation
CVPR 2026
Multi-Agent VLMs Guided Self-Training with PNU Loss for Low-Resource Offensive Content Detection
AAAI 2026
ℛ3: Advertisement Compliance ℛectification via Group-ℛelative Experience Extractor and Curriculum ℛeinforcement
ACL 2026
Search-P1: Path-Centric Reward Shaping for Stable and Efficient Agentic RAG Training
ACL 2026
SSR-A: Spatial- and Semantic-Aware Instructions and Curriculum Reinforcement for Advertisement Compliant Rectification
ACL 2026
Towards Faithful Industrial RAG: A Reinforced Co-adaptation Framework for Advertising QA
ACL 2026
RAVEN++: Pinpointing Fine-Grained Violations in Advertisement Videos with Active Reinforcement Reasoning
EMNLP 2025
Enhancing Reinforcement Learning with Label-Sensitive Reward for Natural Language Understanding
ACL 2024
Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors
ACL 2024
TencentPretrain: A Scalable and Flexible Toolkit for Pre-training Models of Different Modalities
ACL 2023
NeuralClassifier: An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
ACL 2019