CCF-A

MDEval: Evaluating and Enhancing Markdown Awareness in Large Language Models
Large language models (LLMs) are expected to offer structured Markdown responses for the sake of readability in web chatbots (e.g., …
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Learning to Understand the Vague Graph for Stock Prediction With Momentum Spillovers
In the realm of deep graph learning, our study uniquely addresses the under-explored area of vague graph learning. While the …
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Learning Bi-typed Multi-relational Heterogeneous Graph via Dual Hierarchical Attention Networks
Bi-typed multi-relational heterogeneous graph (BMHG) is one of the most common graphs in practice, for example, academic networks, …
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LinkBreaker: Breaking the Backdoor-Trigger Link in DNNs via Neurons Consistency Check
Backdoor attacks cause model misbehaving by first implanting backdoors in deep neural networks (DNNs) during training and then …
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Dynamic Authenticated Asymmetric Group Key Agreement With Sender Non-Repudiation and Privacy for Group-Oriented Applications
Group-oriented applications generally support communications for multiple entities (e.g., users and/or devices) through open networks. …
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