Guozheng Li
27 papers · 2018–2026 · 6 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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πΊοΈ Taxonomy Completionist (64) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (23)
π€
Dynamic Duo
(23)
ποΈ
Keyword Collector
(127)
π₯
Unstoppable Β· Bronze
β‘
Prolific Year Β· Prolific
π
Renaissance Researcher
(6)
π
Century Club Β· Bronze
Top co-authors
Research topics
Natural Language Processing
(20)
Machine Learning
(19)
Learning Types Β· Machine Learning
(15)
Artificial Intelligence
(13)
Applications
(13)
Core AI
(11)
Deep Learning
(9)
Resources & Methods
(8)
Knowledge & Reasoning
(6)
Learning Types Β· Deep Learning
(6)
Understanding
(6)
Representation
(5)
Application Areas
(4)
Architectures
(3)
Learning Paradigms
(3)
Keywords
large language model
(13)
relation extraction
(7)
in-context learning
(5)
named entity recognition
(4)
knowledge graph
(4)
few-shot learning
(4)
zero-shot learning
(3)
catastrophic forgetting
(3)
continual learning
(3)
demonstration retrieval
(2)
online learning
(2)
knowledge graph embedding
(2)
language model
(2)
low-rank adaptation
(2)
low-resource learning
(2)
semi-supervised learning
(2)
question answering
(2)
contrastive learning
(2)
prompt engineering
(2)
prototype learning
(1)
Papers
Balanced Knowledge Distillation for Large Language Models with Mix-of-Experts
AAAI 2026
Benchmarking and Enhancing Rule Knowledge-Driven Reasoning of Large Language Models
AAAI 2026
K-STaR: Knowledge-Aware Self-Taught Reasoner
AAAI 2026
On the Role of Discriminative Models in Generative Relation Extraction
ACL 2026
Acquisition and Application of Novel Knowledge in Large Language Models
ACL 2025
ForestCast: Open-Ended Event Forecasting with Semantic News Forest
EMNLP 2025
LLM-Guided Semantic-Aware Clustering for Topic Modeling
ACL 2025
On the Consistency of Commonsense in Large Language Models
ACL 2025
Boosting Textural NER with Synthetic Image and Instructive Alignment
ACL 2024
ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context
AAAI 2024
Domain-Hierarchy Adaptation via Chain of Iterative Reasoning for Few-shot Hierarchical Text Classification
IJCAI 2024
Empirical Analysis of Dialogue Relation Extraction with Large Language Models
IJCAI 2024
Fast and Continual Knowledge Graph Embedding via Incremental LoRA
IJCAI 2024
Incorporating Schema-Aware Description into Document-Level Event Extraction
IJCAI 2024
Learning Multi-Granularity and Adaptive Representation for Knowledge Graph Reasoning
IJCAI 2024
Meta In-Context Learning Makes Large Language Models Better Zero and Few-Shot Relation Extractors
IJCAI 2024
Recall, Retrieve and Reason: Towards Better In-Context Relation Extraction
IJCAI 2024
Towards Continual Knowledge Graph Embedding via Incremental Distillation
AAAI 2024
Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype
AAAI 2024
Unlocking Instructive In-Context Learning with Tabular Prompting for Relational Triple Extraction
COLING 2024
Unveiling LoRA Intrinsic Ranks via Salience Analysis
NeurIPS 2024
fmLRE: A Low-Resource Relation Extraction Model Based on Feature Mapping Similarity Calculation
AAAI 2023
Online Noisy Continual Relation Learning
AAAI 2023
PasCore: A Chinese Overlapping Relation Extraction Model Based on Global Pointer Annotation Strategy
IJCAI 2023
Revisiting Large Language Models as Zero-shot Relation Extractors
EMNLP 2023
FastRE: Towards Fast Relation Extraction with Convolutional Encoder and Improved Cascade Binary Tagging Framework
IJCAI 2022
T-Know: a Knowledge Graph-based Question Answering and Infor-mation Retrieval System for Traditional Chinese Medicine
COLING 2018