Huixuan Zhang
9 papers · 2024–2026 · 3 conferences · across top CS/AI conferences
Achievements
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π Cross-Pollinator (14) π Interdisciplinary Bridge π Conference Polyglot (3) π§ Keyword Pioneer π Renaissance Researcher (6)
πΊοΈ
Taxonomy Completionist
(18)
β‘
Prolific Year
(6)
Conferences
EMNLP (5)
ACL (3)
COLING (1)
Top co-authors
Research topics
Keywords
large language model
(3)
multimodal learning
(2)
multimodal large language model
(2)
model evaluation
(1)
text-to-image generation
(1)
statistical testing
(1)
privacy preservation
(1)
diffusion model
(1)
hidden state
(1)
confidence scoring
(1)
hallucination detection
(1)
visual instruction tuning
(1)
jailbreak attack
(1)
red teaming
(1)
multi-turn dialogue
(1)
monte carlo tree search
(1)
multimodal language model
(1)
knowledge reasoning
(1)
attention map
(1)
sentiment analysis
(1)
Papers
DecoCal: Decoding with Calibration in Diffusion Large Language Models
ACL 2026
MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality Consistency
ACL 2025
DAMON: A Dialogue-Aware MCTS Framework for Jailbreaking Large Language Models
EMNLP 2025
Exploring and Evaluating Multimodal Knowledge Reasoning Consistency of Multimodal Large Language Models
EMNLP 2025
Tracing Training Footprints: A Calibration Approach for Membership Inference Attacks Against Multimodal Large Language Models
EMNLP 2025
ICR Probe: Tracking Hidden State Dynamics for Reliable Hallucination Detection in LLMs
ACL 2025
R-Bind: Unified Enhancement of Attribute and Relation Binding in Text-to-Image Diffusion Models
EMNLP 2025
PaCoST: Paired Confidence Significance Testing for Benchmark Contamination Detection in Large Language Models
EMNLP 2024
Image Matters: A New Dataset and Empirical Study for Multimodal Hyperbole Detection
COLING 2024