Shenglai Zeng
14 papers · 2023–2026 · 7 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.
Achievements
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Silver π£ Hot Topic Early Bird π€ Dynamic Duo (11)
π
Renaissance Researcher
(5)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
ποΈ
Keyword Collector
(73)
Top co-authors
Research topics
Artificial Intelligence
(12)
Machine Learning
(12)
Core AI
(12)
Application Areas
(10)
Learning Types Β· Machine Learning
(7)
Deep Learning
(6)
Natural Language Processing
(6)
Learning Types Β· Deep Learning
(4)
Applications
(3)
Generation
(3)
Models
(3)
Resources & Methods
(3)
Security & Privacy
(2)
Core Methods
(2)
Privacy
(2)
Keywords
large language model
(7)
retrieval-augmented generation
(5)
knowledge filtering
(2)
domain adaptation
(2)
language model
(2)
training data
(2)
multimodal learning
(1)
data poisoning
(1)
link prediction
(1)
natural language inference
(1)
question answering
(1)
information retrieval
(1)
model robustness
(1)
privacy preservation
(1)
image generation
(1)
loss landscape
(1)
graph representation
(1)
text classification
(1)
ai safety
(1)
machine unlearning
(1)
Papers
Attn-GS: Attention-Guided Context Compression for Efficient Personalized LLMs
ACL 2026
Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
EMNLP 2025
Empowering GraphRAG with Knowledge Filtering and Integration
EMNLP 2025
Mitigating the Privacy Issues in Retrieval-Augmented Generation (RAG) via Pure Synthetic Data
EMNLP 2025
Six-CD: Benchmarking Concept Removals for Text-to-image Diffusion Models
CVPR 2025
Towards Context-Robust LLMs: A Gated Representation Fine-tuning Approach
ACL 2025
Towards Knowledge Checking in Retrieval-augmented Generation: A Representation Perspective
NAACL 2025
Unveiling Privacy Risks in LLM Agent Memory
ACL 2025
Exploring Memorization in Fine-tuned Language Models
ACL 2024
On the Generalization of Training-based ChatGPT Detection Methods
EMNLP 2024
Sharpness-Aware Data Poisoning Attack
ICLR 2024
The Good and The Bad: Exploring Privacy Issues in Retrieval-Augmented Generation (RAG)
ACL 2024
Unveiling and Mitigating Memorization in Text-to-image Diffusion Models through Cross Attention
ECCV 2024
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NeurIPS 2023