Tiejin Chen
6 papers · 2024–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Conference Polyglot (2) π Renaissance Researcher (6) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (16) π§ Keyword Pioneer
π
Cross-Pollinator
(15)
Conferences
ACL (3)
EACL (2)
AAAI (1)
Top co-authors
Keywords
uncertainty quantification
(3)
multi-modal 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)
vision language model
(1)
zeroth-order optimization
(1)
data leakage
(1)
evidential learning
(1)
multimodal large language model
(1)
jailbreak attack
(1)
privacy protection
(1)
privacy risk
(1)
dempster-shafer theory
(1)
Papers
Zer0-Jack: A memory-efficient gradient-based jailbreaking method for black box Multi-modal Large Language Models
EACL 2026
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
Vision Language Model Helps Private Information De-Identification in Vision Data
ACL 2025
Unveiling Privacy Risks in Multi-modal Large Language Models: Task-specific Vulnerabilities and Mitigation Challenges
ACL 2025
Uncertainty Regularized Evidential Regression
AAAI 2024