Huangming Xu
7 papers · 2025–2026 · 4 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(12)
⭐
Rising Star
(7)
⚡
Prolific Year · Productive
Top co-authors
Research topics
Natural Language Processing
(6)
Applications
(6)
Machine Learning
(5)
Core Methods
(4)
Deep Learning
(2)
Learning Types · Machine Learning
(2)
Artificial Intelligence
(1)
Architectures
(1)
Core AI
(1)
Learning Types · Deep Learning
(1)
Optimization & Theory · Deep Learning
(1)
Optimization & Theory · Machine Learning
(1)
Keywords
document-level relation extraction
(6)
multi-label classification
(4)
large language model
(2)
prior distribution
(1)
adaptive loss
(1)
evidence retrieval
(1)
entity type
(1)
small language model
(1)
adaptive threshold
(1)
adapter learning
(1)
entity representation
(1)
entity pair
(1)
entity pair-guided retrieval
(1)
relation summarization
(1)
cross-document relation extraction
(1)
relation retrieval
(1)
long-tail problem
(1)
entity type guidance
(1)
mention identification
(1)
probability fusion
(1)
Papers
ATGL: An Adaptive-Threshold Global Loss for Document-level Relation Extraction
ACL 2026
DEBAR: Mitigating Contextual Bias in Cross-Document Relation Extraction via Dual-Stream Decoupling
ACL 2026
An Adaptive Multi-Threshold Loss and a General Framework for Collaborating Losses in Document-Level Relation Extraction
ACL 2025
ARPDL: Adaptive Relational Prior Distribution Loss as an Adapter for Document-Level Relation Extraction
IJCAI 2025
Entity Pair-guided Relation Summarization and Retrieval in LLMs for Document-level Relation Extraction
NAACL 2025
ET-MIER: Entity Type-guided Key Mention Identification and Evidence Retrieval for Document-level Relation Extraction
EMNLP 2025
Rethinking the Role of LLMs for Document-level Relation Extraction: a Refiner with Task Distribution and Probability Fusion
NAACL 2025