Qi Cao
21 papers · 2019–2026 · 10 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (9) π§ Keyword Pioneer π Renaissance Researcher (5) π Interdisciplinary Bridge π Academic Marathon (6)
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Keyword Pioneer
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πΊοΈ
Taxonomy Completionist
(48)
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Dynamic Duo
(12)
π
Grand Slam
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Topic Evolution
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Century Club
(19)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(100)
β
The Questioner
(2)
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Unstoppable
(5)
Conferences
ACL (5)
EMNLP (5)
NIPS (3)
AAAI (2)
AACL (1)
EACL (1)
ICLR (1)
ICML (1)
IJCAI (1)
IJCNLP (1)
Top co-authors
Research topics
Keywords
large language model
(5)
generative adversarial network
(3)
self-supervised learning
(2)
reinforcement learning
(2)
in-context learning
(2)
representation learning
(2)
model editing
(2)
sensitive data leakage
(2)
continual pre-training
(2)
self-attention mechanism
(1)
uncertainty quantification
(1)
image generation
(1)
knowledge editing
(1)
data augmentation
(1)
bayesian inference
(1)
anomaly detection
(1)
algorithmic fairness
(1)
passage retrieval
(1)
confidence calibration
(1)
text reconstruction
(1)
Papers
AuditAgent: LLM Agent for Risks Auditing in Recommender Systems
AAAI 2026
Semantic Token Clustering for Efficient Uncertainty Quantification in Large Language Models
EACL 2026
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
AACL 2025
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
EMNLP 2025
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
IJCNLP 2025
The Mirage of Model Editing: Revisiting Evaluation in the Wild
ACL 2025
Low-Entropy Watermark Detection via Bayesβ Rule Derived Detector
ACL 2025
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning
ACL 2025
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
EMNLP 2025
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks
EMNLP 2024
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
ACL 2024
When to Trust LLMs: Aligning Confidence with Response Quality
ACL 2024
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
NIPS 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
EMNLP 2024
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
EMNLP 2023
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
NIPS 2023
Conditional GANs with Auxiliary Discriminative Classifier
ICML 2022
Self-Supervised GANs with Label Augmentation
NIPS 2021
Towards Consumer Loan Fraud Detection: Graph Neural Networks with Role-Constrained Conditional Random Field
AAAI 2021
Graph Convolutional Networks using Heat Kernel for Semi-supervised Learning
IJCAI 2019
Graph Wavelet Neural Network
ICLR 2019