Xuetao Wei
19 papers · 2024–2026 · 5 conferences · across top CS/AI conferences
Achievements
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π Renaissance Researcher (5) π Conference Polyglot (5) π Cross-Pollinator (12) π Interdisciplinary Bridge πΊοΈ Taxonomy Completionist (11)
π§
Keyword Pioneer
ποΈ
Keyword Collector
(102)
β‘
Prolific Year
(5)
π
Century Club
(13)
β
The Questioner
Conferences
AAAI (8)
ACL (5)
NIPS (4)
IJCAI (1)
NAACL (1)
Top co-authors
Research topics
Keywords
large language model
(6)
bias mitigation
(5)
mesh watermarking
(3)
retrieval-augmented generation
(2)
watermark embedding
(2)
model merging
(2)
model compression
(2)
copyright protection
(2)
policy optimization
(1)
attention mechanism
(1)
multi-task learning
(1)
in-context learning
(1)
prompt engineering
(1)
information retrieval
(1)
contrastive learning
(1)
hyperparameter optimization
(1)
text-to-image generation
(1)
sparse representation
(1)
adversarial learning
(1)
neural architecture search
(1)
Papers
GeWu: A Culturally-Grounded Chinese Benchmark for Multi-Stage Social Bias Evaluation in Large Language Models
AAAI 2026
Renormalization Group Guided Tensor Network Structure Search
AAAI 2026
MTA:A Merge-then-Adapt Framework for Personalized Large Language Models
ACL 2026
Modeling LLM Unlearning as an Asymmetric Two-Task Learning Problem
ACL 2026
The Silent Amplifier: In-Context Examples Fuel Bias in Large Language Models
AAAI 2026
Boosting Fine-Grained Urban Flow Inference via Lightweight Architecture and Focalized Optimization
AAAI 2026
DANCE: Resource-Efficient Neural Architecture Search with Data-Aware and Continuous Adaptation
IJCAI 2025
SeqAR: Jailbreak LLMs with Sequential Auto-Generated Characters
NAACL 2025
LLMs Trust Humans More, Thatβs a Problem! Unveiling and Mitigating the Authority Bias in Retrieval-Augmented Generation
ACL 2025
GARLIC: GPT-Augmented Reinforcement Learning with Intelligent Control for Vehicle Dispatching
AAAI 2025
Mesh Watermark Removal Attack and Mitigation: A Novel Perspective of Function Space
AAAI 2025
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
AAAI 2025
ImPart: Importance-Aware Delta-Sparsification for Improved Model Compression and Merging in LLMs
ACL 2025
The Elephant in the Room: Exploring the Role of Neutral Words in Language Model Group-Agnostic Debiasing
ACL 2025
Unveiling the Bias Impact on Symmetric Moral Consistency of Large Language Models
NIPS 2024
Rethinking Mesh Watermark: Towards Highly Robust and Adaptable Deep 3D Mesh Watermarking
AAAI 2024
G3: An Effective and Adaptive Framework for Worldwide Geolocalization Using Large Multi-Modality Models
NIPS 2024
Association of Objects May Engender Stereotypes: Mitigating Association-Engendered Stereotypes in Text-to-Image Generation
NIPS 2024
Does Egalitarian Fairness Lead to Instability? The Fairness Bounds in Stable Federated Learning Under Altruistic Behaviors
NIPS 2024