Zifeng Ding
13 papers · 2021–2026 · 5 venues · across top CS/AI venues
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Research topics
Artificial Intelligence
(11)
Core AI
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Machine Learning
(7)
Knowledge & Reasoning
(6)
Natural Language Processing
(6)
Representation
(5)
Deep Learning
(4)
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Keywords
large language model
(5)
temporal knowledge graph
(5)
knowledge graph embedding
(3)
link prediction
(3)
temporal reasoning
(2)
question answering
(2)
graph embedding
(2)
link forecasting
(2)
zero-shot learning
(2)
few-shot learning
(1)
knowledge editing
(1)
automated planning
(1)
in-context learning
(1)
benchmark evaluation
(1)
reinforcement learning
(1)
embedding learning
(1)
dynamic routing
(1)
uncertainty quantification
(1)
point cloud
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text representation
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Papers
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
ACL 2026
Multimodal Claim Extraction for Fact-Checking
EACL 2026
Parameter-Efficient Routed Fine-Tuning: Mixture-of-Experts Demands Mixture of Adaptation Modules
EACL 2026
BMIKE-53: Investigating Cross-Lingual Knowledge Editing with In-Context Learning
ACL 2025
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
ACL 2025
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
TCP: a Benchmark for Temporal Constraint-Based Planning
EMNLP 2025
Temporal Fact Reasoning over Hyper-Relational Knowledge Graphs
EMNLP 2024
Text2Loc: 3D Point Cloud Localization from Natural Language
CVPR 2024
zrLLM: Zero-Shot Relational Learning on Temporal Knowledge Graphs with Large Language Models
NAACL 2024
ECOLA: Enhancing Temporal Knowledge Embeddings with Contextualized Language Representations
ACL 2023
TempCaps: A Capsule Network-based Embedding Model for Temporal Knowledge Graph Completion
ACL 2022
Learning Neural Ordinary Equations for Forecasting Future Links on Temporal Knowledge Graphs
EMNLP 2021