Kaijie Zhu
10 papers · 2023–2026 · 6 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (10) π§ Keyword Pioneer π Cross-Pollinator (15)
β‘
Prolific Year
(6)
Conferences
ICML (4)
ACL (2)
EMNLP (1)
ICCV (1)
ICLR (1)
JMLR (1)
Top co-authors
Keywords
large language model
(2)
adversarial robustness
(1)
model robustness
(1)
data augmentation
(1)
prompt engineering
(1)
contextual reasoning
(1)
adversarial training
(1)
text understanding
(1)
language model
(1)
downstream task
(1)
evaluation benchmark
(1)
bias analysis
(1)
simulation framework
(1)
adversarial prompt
(1)
logic reasoning
(1)
reasoning capability
(1)
synthetic dataset
(1)
propositional logic
(1)
llm agent
(1)
peer review
(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
DyVal: Dynamic Evaluation of Large Language Models for Reasoning Tasks
ICLR 2024
The Good, The Bad, and Why: Unveiling Emotions in Generative AI
ICML 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
AgentReview: Exploring Peer Review Dynamics with LLM Agents
EMNLP 2024
PromptBench: A Unified Library for Evaluation of Large Language Models
JMLR 2024
Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning
ICCV 2023