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Found 3 papers, 3 papers with code
Multi-role Consensus through LLMs Discussions for Vulnerability Detection
Recent advancements in large language models (LLMs) have highlighted the potential for vulnerability detection, a crucial component of software quality assurance.
SDA: Simple Discrete Augmentation for Contrastive Sentence Representation Learning
Contrastive learning has recently achieved compelling performance in unsupervised sentence representation.
Jointly Contrastive Representation Learning on Road Network and Trajectory
Unlike the existing cross-scale contrastive learning methods on graphs that only contrast a graph and its belonging nodes, the contrast between road segment and trajectory is elaborately tailored via novel positive sampling and adaptive weighting strategies.
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