Bang An
23 papers · 2020–2025 · 8 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
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Research topics
Machine Learning
(17)
Artificial Intelligence
(13)
Core AI
(11)
Application Areas
(10)
Natural Language Processing
(8)
Learning Types
(8)
Deep Learning
(7)
Architectures
(5)
Optimization & Theory
(5)
Core Methods
(4)
Resources & Methods
(4)
Applications
(3)
Generation
(3)
Knowledge & Reasoning
(2)
Bayesian & Probabilistic
(2)
Keywords
large language model
(7)
domain generalization
(2)
risk prediction
(2)
copyright infringement
(2)
few-shot learning
(2)
arabic language model
(2)
reinforcement learning from human feedback
(2)
graph neural network
(2)
optimal transport
(1)
text classification
(1)
data transformation
(1)
prototype learning
(1)
bayesian inference
(1)
preference alignment
(1)
robustness
(1)
data poisoning
(1)
text generation
(1)
in-context learning
(1)
autoregressive generation
(1)
domain adaptation
(1)
Papers
Can Watermarking Large Language Models Prevent Copyrighted Text Generation and Hide Training Data?
AAAI 2025
GenARM: Reward Guided Generation with Autoregressive Reward Model for Test-Time Alignment
ICLR 2025
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
AAAI 2025
PoisonedParrot: Subtle Data Poisoning Attacks to Elicit Copyright-Infringing Content from Large Language Models
NAACL 2025
RAG LLMs are Not Safer: A Safety Analysis of Retrieval-Augmented Generation for Large Language Models
NAACL 2025
Second Language (Arabic) Acquisition of LLMs via Progressive Vocabulary Expansion
ACL 2025
AceGPT, Localizing Large Language Models in Arabic
NAACL 2024
Alignment at Pre-training! Towards Native Alignment for Arabic LLMs
NeurIPS 2024
Explore Spurious Correlations at the Concept Level in Language Models for Text Classification
ACL 2024
PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
ICLR 2024
Position: On the Possibilities of AI-Generated Text Detection
ICML 2024
Referee-Meta-Learning for Fast Adaptation of Locational Fairness
AAAI 2024
SAFLEX: Self-Adaptive Augmentation via Feature Label Extrapolation
ICLR 2024
WAVES: Benchmarking the Robustness of Image Watermarks
ICML 2024
C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
NeurIPS 2023
Learning Unforeseen Robustness from Out-of-distribution Data Using Equivariant Domain Translator
ICML 2023
SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
NeurIPS 2023
Sketch-GNN: Scalable Graph Neural Networks with Sublinear Training Complexity
NeurIPS 2022
Transferring Fairness under Distribution Shifts via Fair Consistency Regularization
NeurIPS 2022
Understanding the Generalization Benefit of Model Invariance from a Data Perspective
NeurIPS 2021
Deep Semantic Compliance Advisor for Unstructured Document Compliance Checking
IJCAI 2020
Repulsive Attention: Rethinking Multi-head Attention as Bayesian Inference
EMNLP 2020
Towards Faithful Neural Table-to-Text Generation with Content-Matching Constraints
ACL 2020