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Found 7 papers, 2 papers with code
From Zero to Hero: Cold-Start Anomaly Detection
This paper studies the realistic but underexplored cold-start setting where an anomaly detection model is initialized using zero-shot guidance, but subsequently receives a small number of contaminated observations (namely, that may include anomalies).
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Cold-Start Anomaly Detection
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Unveiling Safety Vulnerabilities of Large Language Models
As large language models become more prevalent, their possible harmful or inappropriate responses are a cause for concern.
Understanding the Properties of Generated Corpora
Models for text generation have become focal for many research tasks and especially for the generation of sentence corpora.
Answer Identification in Collaborative Organizational Group Chat
However, group chat is characterized by intertwined conversations and 'always on' availability, making it hard for users to pinpoint answers to questions they care about in real-time or search for answers in retrospective.
Balancing via Generation for Multi-Class Text Classification Improvement
Data balancing is a known technique for improving the performance of classification tasks.
Not Enough Data? Deep Learning to the Rescue!
Based on recent advances in natural language modeling and those in text generation capabilities, we propose a novel data augmentation method for text classification tasks.
