Search Results for author:
Found 8 papers, 5 papers with code
Don’t Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence representation.
Improving Content Recommendation: Knowledge Graph-Based Semantic Contrastive Learning for Diversity and Cold-Start Users
It is essential to provide recommendations that are both personalized and diverse, rather than solely relying on achieving high rank-based performance, such as Click-through Rate, Recall, etc.
Prompt have evil twins
We discover that many natural-language prompts can be replaced by corresponding prompts that are unintelligible to humans but that provably elicit similar behavior in language models.
Illuminati: Towards Explaining Graph Neural Networks for Cybersecurity Analysis
Given a graph and a pre-trained GNN model, Illuminati is able to identify the important nodes, edges, and attributes that are contributing to the prediction while requiring no prior knowledge of GNN models.
Don't Judge a Language Model by Its Last Layer: Contrastive Learning with Layer-Wise Attention Pooling
Recent pre-trained language models (PLMs) achieved great success on many natural language processing tasks through learning linguistic features and contextualized sentence representation.
Euler: Detecting Network Lateral Movement via Scalable Temporal Link Prediction
In this paper, we propose a formalized approach to this problem with a framework we call EULER.
Ranked #1 on
Dynamic Link Prediction
on DBLP Temporal
A Graph Attention Based Approach for Trajectory Prediction in Multi-agent Sports Games
In this paper, we propose a spatial-temporal trajectory prediction approach that is able to learn the strategy of a team with multiple coordinated agents.
PicoDomain: A Compact High-Fidelity Cybersecurity Dataset
Analysis of cyber relevant data has become an area of increasing focus.
