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Found 4 papers, 0 papers with code
Prompt Packer: Deceiving LLMs through Compositional Instruction with Hidden Attacks
In this paper, we introduce an innovative technique for obfuscating harmful instructions: Compositional Instruction Attacks (CIA), which refers to attacking by combination and encapsulation of multiple instructions.
RAUCG: Retrieval-Augmented Unsupervised Counter Narrative Generation for Hate Speech
To address these limitations, we propose Retrieval-Augmented Unsupervised Counter Narrative Generation (RAUCG) to automatically expand external counter-knowledge and map it into CNs in an unsupervised paradigm.
ClueGraphSum: Let Key Clues Guide the Cross-Lingual Abstractive Summarization
Therefore, we first propose a clue-guided cross-lingual abstractive summarization method to improve the quality of cross-lingual summaries, and then construct a novel hand-written CLS dataset for evaluation.
Abstractive Text Summarization
Cross-Lingual Abstractive Summarization
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Sparse representation-based over-sampling technique for classification of imbalanced dataset
As one of the most popular research fields in machine learning, the research on imbalanced dataset receives more and more attentions in recent years.
