Kai Shu
- Papers
- 19
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Authored papers
19Rethinking Memory Mechanisms of Foundation Agents in the Second Half: A Survey
arXiv 2026
Scaling Teams or Scaling Time? Memory Enabled Lifelong Learning in LLM Multi-Agent Systems
arXiv 2026
On the Trustworthiness of Generative Foundation Models: Guideline, Assessment, and Perspective
arXiv 2025
Measuring Sycophancy of Language Models in Multi-turn Dialogues
arXiv 2025
Can Multimodal LLMs Perform Time Series Anomaly Detection?
arXiv 2025
Benchmarking LLMs for Political Science: A United Nations Perspective
arXiv 2025
Understanding and Tackling Label Errors in Individual-Level Nature Language Understanding
arXiv 2025
From Generation to Judgment: Opportunities and Challenges of LLM-as-a-judge
arXiv 2024
TrustLLM: Trustworthiness in Large Language Models
arXiv 2024
ClinicalBench: Can LLMs Beat Traditional ML Models in Clinical Prediction?
arXiv 2024
Can Large Language Model Agents Simulate Human Trust Behavior?
arXiv 2024
Can Editing LLMs Inject Harm?
arXiv 2024
Can Knowledge Editing Really Correct Hallucinations?
arXiv 2024
Trojan Activation Attack: Red-Teaming Large Language Models using Activation Steering for Safety-Alignment
arXiv 2023
Fin-Fact: A Benchmark Dataset for Multimodal Financial Fact Checking and Explanation Generation
arXiv 2023
Can LLM-Generated Misinformation Be Detected?
arXiv 2023
Characterizing Multi-Domain False News and Underlying User Effects on Chinese Weibo
arXiv 2022
Memory-Guided Multi-View Multi-Domain Fake News Detection
arXiv 2022
Mining Dual Emotion for Fake News Detection
arXiv 2019
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