Shenglai Zeng
14 papers · 2023–2026 · 7 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+5 more ↓ Show less ↑
π Cross-Pollinator (12) πΊοΈ Taxonomy Completionist (38) π Interdisciplinary Bridge π§ Keyword Pioneer π Renaissance Researcher (7)
π
Conference Polyglot
(7)
π€
Dynamic Duo
(11)
π
Century Club
(13)
β‘
Prolific Year
(7)
ποΈ
Keyword Collector
(65)
Conferences
ACL (5)
EMNLP (4)
CVPR (1)
ECCV (1)
ICLR (1)
NAACL (1)
NIPS (1)
Top co-authors
Research topics
Keywords
large language model
(7)
retrieval-augmented generation
(5)
domain adaptation
(2)
knowledge filtering
(2)
language model
(2)
training datum
(2)
text classification
(1)
sparse coding
(1)
link prediction
(1)
multimodal learning
(1)
privacy preservation
(1)
model safety
(1)
machine unlearning
(1)
graph representation
(1)
knowledge graph
(1)
information retrieval
(1)
data privacy
(1)
robust learning
(1)
question answering
(1)
distribution shift
(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
Unveiling Privacy Risks in LLM Agent Memory
ACL 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
On the Generalization of Training-based ChatGPT Detection Methods
EMNLP 2024
Exploring Memorization in Fine-tuned Language Models
ACL 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
Sharpness-Aware Data Poisoning Attack
ICLR 2024
Evaluating Graph Neural Networks for Link Prediction: Current Pitfalls and New Benchmarking
NIPS 2023