Fangming Liu
12 papers · 2025–2026 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (36) 🌍 Conference Polyglot · Silver ⭐ Rising Star (12) ⚡ Prolific Year · Prolific
💎
Century Club · Bronze
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Research topics
Artificial Intelligence
(10)
Core AI
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Machine Learning
(7)
Deep Learning
(5)
Application Areas
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Natural Language Processing
(4)
Learning Types · Machine Learning
(3)
Resources & Methods
(3)
Applications
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Reinforcement Learning
(1)
Architectures
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Core Methods
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Methods
(1)
Keywords
large language model
(5)
catastrophic forgetting
(2)
model compression
(2)
knowledge editing
(2)
reinforcement learning
(1)
continual learning
(1)
post-training quantization
(1)
text classification
(1)
contrastive learning
(1)
fact verification
(1)
knowledge distillation
(1)
policy learning
(1)
in-context learning
(1)
question answering
(1)
toxicity detection
(1)
multimodal learning
(1)
adversarial robustness
(1)
fine-grained classification
(1)
model merging
(1)
representation learning
(1)
Papers
FP=XINT: Representing Neural Networks via Low-Bit Series Basis Functions
AAAI 2026
Adaptive Detoxification: Safeguarding General Capabilities of LLMs through Toxicity-Aware Knowledge Editing
ACL 2025
Demystifying Small Language Models for Edge Deployment
ACL 2025
Impromptu Cybercrime Euphemism Detection
COLING 2025
Knowledge Editing with Dynamic Knowledge Graphs for Multi-Hop Question Answering
AAAI 2025
Learning to Generate Structured Output with Schema Reinforcement Learning
ACL 2025
Multi-Modality Expansion and Retention for LLMs through Parameter Merging and Decoupling
ACL 2025
Proactive Agent: Shifting LLM Agents from Reactive Responses to Active Assistance
ICLR 2025
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
EMNLP 2025
Reflection on Knowledge Graph for Large Language Models Reasoning
ACL 2025
Safety Alignment via Constrained Knowledge Unlearning
ACL 2025
Unlearning the Noisy Correspondence Makes CLIP More Robust
ICCV 2025