Kai Shu
24 papers · 2016–2026 · 10 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 (42) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Topic Evolution
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Grand Slam
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Prolific Year Β· Productive
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The Questioner
(5)
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Century Club Β· Bronze
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(115)
Venues
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Research topics
Natural Language Processing
(19)
Artificial Intelligence
(17)
Core AI
(15)
Applications
(11)
Machine Learning
(8)
Resources & Methods
(8)
Learning Types
(5)
Deep Learning
(3)
Application Areas
(3)
Core Methods
(3)
Generation
(3)
Learning Paradigms
(2)
Models
(2)
Data Science & Analytics
(1)
Knowledge & Reasoning
(1)
Keywords
large language model
(9)
text classification
(4)
fake news detection
(3)
unsupervised learning
(2)
zero-shot learning
(2)
authorship attribution
(2)
misinformation detection
(2)
multi-hop reasoning
(2)
text generation
(2)
visual question answering
(2)
social media
(2)
disinformation detection
(2)
knowledge editing
(2)
model editing
(2)
claim verification
(2)
data augmentation
(1)
anomaly detection
(1)
behavioral economics
(1)
model robustness
(1)
few-shot learning
(1)
Papers
Benchmarking LLMs for Political Science: A United Nations Perspective
AAAI 2026
Can Editing LLMs Inject Harm?
AAAI 2026
Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm
AAAI 2026
Can Knowledge Editing Really Correct Hallucinations?
ICLR 2025
ConQRet: A New Benchmark for Fine-Grained Automatic Evaluation of Retrieval Augmented Computational Argumentation
NAACL 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
EMNLP 2025
Measuring Sycophancy of Language Models in Multi-turn Dialogues
EMNLP 2025
Piecing It All Together: Verifying Multi-Hop Multimodal Claims
COLING 2025
Spatial-Aware Visual Program Guided Reasoning for Answering Complex Visual Questions
IJCNLP 2025
Taxonomy-Guided Zero-Shot Recommendations with LLMs
COLING 2025
Can Large Language Model Agents Simulate Human Trust Behavior?
NeurIPS 2024
Can Large Language Models Identify Authorship?
EMNLP 2024
Can LLM-Generated Misinformation Be Detected?
ICLR 2024
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective
AAAI 2023
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
EMNLP 2023
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners
EACL 2023
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NeurIPS 2022
WALNUT: A Benchmark on Semi-weakly Supervised Learning for Natural Language Understanding
NAACL 2022
Enhancing Model Robustness and Fairness with Causality: A Regularization Approach
EMNLP 2021
Fact-Enhanced Synthetic News Generation
AAAI 2021
Authorship Attribution for Neural Text Generation
EMNLP 2020
Unsupervised Fake News Detection on Social Media: A Generative Approach
AAAI 2019
Multi-Label Informed Feature Selection
IJCAI 2016