Shanshan Liu
8 papers · 2021–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (15) π Conference Polyglot (5) π Academic Marathon (5) π Renaissance Researcher (5) π Interdisciplinary Bridge
πΊοΈ
Taxonomy Completionist
(15)
π§
Keyword Pioneer
π£
Hot Topic Early Bird
β‘
Prolific Year
(5)
Conferences
ACL (3)
AAAI (1)
COLING (1)
EACL (1)
EMNLP (1)
ICCV (1)
Top co-authors
Keywords
large language model
(4)
rumor detection
(2)
biomedical nlp
(2)
concept recognition
(2)
cross-domain rumor detection
(2)
data augmentation
(1)
social media analysis
(1)
information extraction
(1)
chain-of-thought reasoning
(1)
multi-label classification
(1)
semantic search
(1)
label noise
(1)
ontology alignment
(1)
monte carlo tree search
(1)
knowledge graph
(1)
generative model
(1)
multimodal agent
(1)
tool usage
(1)
textual entailment
(1)
biomedical text
(1)
Papers
Better Generalizing to Unseen Concepts: An Evaluation Framework and An LLM-Based Auto-Labeled Pipeline for Biomedical Concept Recognition
EACL 2026
MA-COIR: Leveraging Semantic Search Index and Generative Models for Ontology-Driven Biomedical Concept Recognition
ACL 2025
MONTROSE: LLM-driven Monte Carlo Tree Search Self-Refinement for Cross-Domain Rumor Detection
ACL 2025
Zero-Shot Entailment Learning for Ontology-Based Biomedical Annotation Without Explicit Mentions
COLING 2025
GCML: Gradient Coherence Guided Meta-Learning for Cross-Domain Emerging Topic Rumor Detection
EMNLP 2025
MMAT-1M: A Large Reasoning Dataset for Multimodal Agent Tuning
ICCV 2025
Mention-Agnostic Information Extraction for Ontological Annotation of Biomedical Articles
ACL 2024
PGNet: Real-time Arbitrarily-Shaped Text Spotting with Point Gathering Network
AAAI 2021