Kaijie Zhu
10 papers · 2023–2026 · 6 venues · across top CS/AI venues
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large language model
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language model
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model robustness
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prompt engineering
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contextual reasoning
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adversarial training
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graph structure
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simulation framework
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language understanding
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domain knowledge
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text understanding
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downstream task
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bias analysis
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data augmentation
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adversarial prompt
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data contamination
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logic reasoning
(1)
reasoning benchmark
(1)
adversarial robustness
(1)
Papers
Understanding and Mitigating Bias Inheritance in LLM-based Data Augmentation on Downstream Tasks
ACL 2026
Disentangling Logic: The Role of Context in Large Language Model Reasoning Capabilities
ACL 2025
MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI Agents
ICML 2025
AgentReview: Exploring Peer Review Dynamics with LLM Agents
EMNLP 2024
CompeteAI: Understanding the Competition Dynamics of Large Language Model-based Agents
ICML 2024
Dynamic Evaluation of Large Language Models by Meta Probing Agents
ICML 2024
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
ICLR 2024
PromptBench: A Unified Library for Evaluation of Large Language Models
JMLR 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
ICML 2024
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
ICCV 2023