Tiejin Chen
6 papers · 2024–2026 · 3 venues · across top CS/AI venues
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Achievements
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🌍
Conference Polyglot · Bronze
🌉
Interdisciplinary Bridge · Silver
🗺️
Taxonomy Completionist
(19)
Top co-authors
Research topics
Artificial Intelligence
(6)
Core AI
(6)
Machine Learning
(4)
Deep Learning
(2)
Application Areas
(2)
Learning Types · Deep Learning
(2)
Optimization & Theory
(2)
Computer Vision
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Applications
(1)
Bayesian & Probabilistic
(1)
Core Methods
(1)
Domain-Specific
(1)
Learning Types · Machine Learning
(1)
Keywords
uncertainty quantification
(3)
multimodal large language model
(2)
multimodal learning
(1)
language model alignment
(1)
deep learning
(1)
neural network optimization
(1)
gradient estimation
(1)
tensor decomposition
(1)
reinforcement learning from human feedback
(1)
regression analysis
(1)
black-box attack
(1)
zeroth-order optimization
(1)
data leakage
(1)
evidential learning
(1)
vision-language model
(1)
jailbreak attack
(1)
privacy protection
(1)
privacy risk
(1)
dempster-shafer theory
(1)
privacy breach
(1)
Papers
Conformal Feedback Alignment: Quantifying Answer-Level Reliability for Robust LLM Alignment
EACL 2026
Every Response Counts: Quantifying Uncertainty of LLM-based Multi-Agent Systems through Tensor Decomposition
ACL 2026
Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models
EACL 2026
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025
Vision Language Model Helps Private Information De-Identification in Vision Data
ACL 2025
Uncertainty Regularized Evidential Regression
AAAI 2024