Qi Cao
20 papers · 2019–2026 · 9 venues · across top CS/AI venues
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Achievements
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Dynamic Duo
(13)
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The Questioner
(2)
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Century Club Β· Bronze
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(6)
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Top co-authors
Research topics
Machine Learning
(14)
Artificial Intelligence
(13)
Deep Learning
(12)
Core AI
(12)
Learning Types Β· Machine Learning
(10)
Natural Language Processing
(8)
Models
(7)
Resources & Methods
(7)
Application Areas
(4)
Core Methods
(4)
Applications
(3)
Architectures
(3)
Learning Types Β· Deep Learning
(3)
Reinforcement Learning
(2)
Methods
(2)
Keywords
large language model
(4)
generative adversarial network
(3)
representation learning
(2)
reinforcement learning
(2)
model editing
(2)
self-supervised learning
(2)
in-context learning
(2)
graph neural network
(2)
self-attention mechanism
(1)
uncertainty quantification
(1)
image generation
(1)
bayesian inference
(1)
knowledge editing
(1)
data augmentation
(1)
anomaly detection
(1)
algorithmic fairness
(1)
passage retrieval
(1)
text reconstruction
(1)
confidence calibration
(1)
neural network security
(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
Answer When Needed, Forget When Not: Language Models Pretend to Forget via In-Context Knowledge Unlearning
ACL 2025
Crypto-LLM: Two-Stage Language Model Pre-training with Ciphered and Natural Language Data
IJCNLP 2025
Improving the Language Understanding Capabilities of Large Language Models Using Reinforcement Learning
EMNLP 2025
Low-Entropy Watermark Detection via Bayesβ Rule Derived Detector
ACL 2025
The Mirage of Model Editing: Revisiting Evaluation in the Wild
ACL 2025
Too Consistent to Detect: A Study of Self-Consistent Errors in LLMs
EMNLP 2025
Blinded by Generated Contexts: How Language Models Merge Generated and Retrieved Contexts When Knowledge Conflicts?
ACL 2024
PKAD: Pretrained Knowledge is All You Need to Detect and Mitigate Textual Backdoor Attacks
EMNLP 2024
Understanding and Improving Adversarial Collaborative Filtering for Robust Recommendation
NeurIPS 2024
When to Trust LLMs: Aligning Confidence with Response Quality
ACL 2024
Which Programming Language and What Features at Pre-training Stage Affect Downstream Logical Inference Performance?
EMNLP 2024
Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
NeurIPS 2023
Unnatural Error Correction: GPT-4 Can Almost Perfectly Handle Unnatural Scrambled Text
EMNLP 2023
Conditional GANs with Auxiliary Discriminative Classifier
ICML 2022
Self-Supervised GANs with Label Augmentation
NeurIPS 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