Zhihang Fu
13 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Machine Learning
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(6)
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(4)
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(3)
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large language model
(6)
out-of-distribution detection
(3)
unsupervised learning
(2)
domain adaptation
(2)
supervised fine-tuning
(2)
preference alignment
(1)
transfer learning
(1)
zero-shot learning
(1)
model robustness
(1)
visual question answering
(1)
feature distribution
(1)
weakly supervised learning
(1)
interactive learning
(1)
data augmentation
(1)
factual knowledge
(1)
object detection
(1)
prompt engineering
(1)
cross-modal learning
(1)
feature embedding
(1)
question answering
(1)
Papers
Human-centered Interactive Learning via MLLMs for Text-to-Image Person Re-identification
CVPR 2025
ROPO: Robust Preference Optimization for Large Language Models
ICML 2025
ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL
ICLR 2025
Structure-aware Domain Knowledge Injection for Large Language Models
ACL 2025
Delving into the Reversal Curse: How Far Can Large Language Models Generalize?
NeurIPS 2024
Enhancing LLMβs Cognition via Structurization
NeurIPS 2024
INSIDE: LLMs' Internal States Retain the Power of Hallucination Detection
ICLR 2024
Rethinking Out-of-Distribution Detection on Imbalanced Data Distribution
NeurIPS 2024
Category-Extensible Out-of-Distribution Detection via Hierarchical Context Descriptions
NeurIPS 2023
Optimal Parameter and Neuron Pruning for Out-of-Distribution Detection
NeurIPS 2023
Uncertainty-aware Unsupervised Multi-Object Tracking
ICCV 2023
HoMM: Higher-Order Moment Matching for Unsupervised Domain Adaptation
AAAI 2020
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection
CVPR 2020