Kai Shu
25 papers · 2016–2026 · 11 conferences · across top CS/AI conferences
Achievements
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π Interdisciplinary Bridge π Academic Marathon (9) π Conference Polyglot (10) π Renaissance Researcher (6) πΊοΈ Taxonomy Completionist (47)
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Cross-Pollinator
(15)
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Conference Polyglot
(10)
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Academic Marathon
(9)
π₯
Mega-Team
(71)
π
Triple Crown
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Grand Slam
π§¬
Topic Evolution
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Trend Setter
β‘
Prolific Year
(7)
π₯
Unstoppable
(7)
π
Century Club
(21)
ποΈ
Keyword Collector
(107)
π
Conference Pioneer
β
The Questioner
(4)
Conferences
AAAI (6)
EMNLP (6)
COLING (2)
ICLR (2)
NAACL (2)
NIPS (2)
AACL (1)
EACL (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
large language model
(7)
zero-shot learning
(3)
multi-hop reasoning
(3)
fake news detection
(3)
visual question answering
(3)
text classification
(3)
text generation
(2)
visual program
(2)
social media
(2)
disinformation detection
(2)
large multimodal model
(2)
authorship attribution
(2)
unsupervised learning
(2)
claim verification
(2)
scene graph
(2)
data augmentation
(1)
anomaly detection
(1)
knowledge editing
(1)
behavioral economics
(1)
few-shot learning
(1)
Papers
Benchmarking LLMs for Political Science: A United Nations Perspective
AAAI 2026
Model Editing as a Double-Edged Sword: Steering Agent Behavior Toward Beneficence or Harm
AAAI 2026
Can Editing LLMs Inject Harm?
AAAI 2026
Spatial-Aware Visual Program Guided Reasoning for Answering Complex Visual Questions
AACL 2025
Taxonomy-Guided Zero-Shot Recommendations with LLMs
COLING 2025
Piecing It All Together: Verifying Multi-Hop Multimodal Claims
COLING 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
Can Knowledge Editing Really Correct Hallucinations?
ICLR 2025
Spatial-Aware Visual Program Guided Reasoning for Answering Complex Visual Questions
IJCNLP 2025
ConQRet: A New Benchmark for Fine-Grained Automatic Evaluation of Retrieval Augmented Computational Argumentation
NAACL 2025
Position: TrustLLM: Trustworthiness in Large Language Models
ICML 2024
Can Large Language Models Identify Authorship?
EMNLP 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
NIPS 2024
Can LLM-Generated Misinformation Be Detected?
ICLR 2024
Explainable Claim Verification via Knowledge-Grounded Reasoning with Large Language Models
EMNLP 2023
Combating Disinformation on Social Media and Its Challenges: A Computational Perspective
AAAI 2023
PromptDA: Label-guided Data Augmentation for Prompt-based Few Shot Learners
EACL 2023
BOND: Benchmarking Unsupervised Outlier Node Detection on Static Attributed Graphs
NIPS 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