Licheng Zhang
14 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (39) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π€ Dynamic Duo (12)
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Research topics
Machine Learning
(10)
Natural Language Processing
(9)
Artificial Intelligence
(7)
Deep Learning
(7)
Learning Types Β· Machine Learning
(7)
Applications
(6)
Core AI
(6)
Learning Types Β· Deep Learning
(4)
Application Areas
(3)
Core Methods
(3)
Resources & Methods
(3)
Knowledge & Reasoning
(2)
Architectures
(2)
Generation
(2)
Learning Paradigms
(2)
Keywords
machine-generated text detection
(3)
large language model
(3)
text classification
(3)
contrastive learning
(2)
text style transfer
(2)
representation learning
(2)
pre-trained language model
(2)
transfer learning
(2)
in-context learning
(1)
embedding learning
(1)
domain generalization
(1)
self-supervised learning
(1)
curriculum learning
(1)
question decomposition
(1)
feature attribution
(1)
few-shot learning
(1)
natural language understanding
(1)
feature extraction
(1)
natural language generation
(1)
cross-lingual transfer
(1)
Papers
FineRef: Fine-Grained Error Reflection and Correction for Long-Form Generation with Citations
AAAI 2026
LAFaCT: Attribution-based Localization and Focused Sequential Analysis of Fact-Critical Tokens for Hallucination Detection
ACL 2026
CMI-AIGCX at GenAI Detection Task 2: Leveraging Multilingual Proxy LLMs for Machine-Generated Text Detection in Academic Essays
COLING 2025
M-RangeDetector: Enhancing Generalization in Machine-Generated Text Detection through Multi-Range Attention Masks
ACL 2025
Chain-of-Question: A Progressive Question Decomposition Approach for Complex Knowledge Base Question Answering
ACL 2024
Disentangled Learning with Synthetic Parallel Data for Text Style Transfer
ACL 2024
Feature-Adaptive and Data-Scalable In-Context Learning
ACL 2024
IDEATE: Detecting AI-Generated Text Using Internal and External Factual Structures
COLING 2024
Knowledge Context Modeling with Pre-trained Language Models for Contrastive Knowledge Graph Completion
ACL 2024
USTC-BUPT at SemEval-2024 Task 8: Enhancing Machine-Generated Text Detection via Domain Adversarial Neural Networks and LLM Embeddings
SemEval 2024
Random Entity Quantization for Parameter-Efficient Compositional Knowledge Graph Representation
EMNLP 2023
Text Style Transfer with Contrastive Transfer Pattern Mining
ACL 2023
Curriculum Learning for Natural Language Understanding
ACL 2020
Zero-Shot Object Detection via Learning an Embedding from Semantic Space to Visual Space
IJCAI 2020