Chengzhi Hu
5 papers · 2024–2026 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Silver
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Taxonomy Completionist
(17)
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Mega-Team · Squad
Venues
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Research topics
Machine Learning
(4)
Artificial Intelligence
(3)
Natural Language Processing
(3)
Deep Learning
(2)
Core AI
(2)
Core Methods
(2)
Learning Types
(2)
Resources & Methods
(2)
Computer Vision
(1)
Healthcare & Medicine
(1)
Analysis
(1)
Application Areas
(1)
Applications
(1)
Clinical
(1)
Learning Paradigms
(1)
Keywords
model compression
(1)
post-training quantization
(1)
representation learning
(1)
zero-shot learning
(1)
few-shot learning
(1)
ensemble learning
(1)
natural language inference
(1)
cross-lingual transfer
(1)
chain-of-thought reasoning
(1)
autoregressive generation
(1)
language model evaluation
(1)
evaluation methodology
(1)
model safety
(1)
semantic alignment
(1)
model editing
(1)
instruction tuning
(1)
language model
(1)
edge deployment
(1)
multiple choice
(1)
segment anything model
(1)
Papers
SAQ-SAM: Semantically-Aligned Quantization for Segment Anything Model
AAAI 2026
Surgical, Cheap, and Flexible: Mitigating False Refusal in Language Models via Single Vector Ablation
ICLR 2025
LMU-BioNLP at SemEval-2024 Task 2: Large Diverse Ensembles for Robust Clinical NLI
SemEval 2024
mPLM-Sim: Better Cross-Lingual Similarity and Transfer in Multilingual Pretrained Language Models
EACL 2024
“My Answer is C”: First-Token Probabilities Do Not Match Text Answers in Instruction-Tuned Language Models
ACL 2024