Zifeng Ding
13 papers · 2021–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (13) π§ Keyword Pioneer π Interdisciplinary Bridge π Conference Polyglot (4) π Academic Marathon (5)
π
Academic Marathon
(5)
π
Renaissance Researcher
(6)
πΊοΈ
Taxonomy Completionist
(43)
π§¬
Topic Evolution
π
Century Club
(10)
ποΈ
Keyword Collector
(64)
π₯
Unstoppable
(5)
β
The Questioner
Conferences
ACL (6)
EMNLP (3)
EACL (2)
CVPR (1)
NAACL (1)
Top co-authors
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
(1)
text representation
(1)
Papers
Multimodal Claim Extraction for Fact-Checking
EACL 2026
Memory-R1: Enhancing Large Language Model Agents to Manage and Utilize Memories via Reinforcement Learning
ACL 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
Predicate-Conditional Conformalized Answer Sets for Knowledge Graph Embeddings
ACL 2025
TCP: a Benchmark for Temporal Constraint-Based Planning
EMNLP 2025
Can Knowledge Graphs Make Large Language Models More Trustworthy? An Empirical Study Over Open-ended Question Answering
ACL 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