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Found 2 papers, 1 papers with code
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
The goal of DIDI is to learn a diverse set of skills from a mixture of label-free offline data.
CONDA: a CONtextual Dual-Annotated dataset for in-game toxicity understanding and detection
Accompanying the dataset is a thorough in-game toxicity analysis, which provides comprehensive understanding of context at utterance, token, and dual levels.
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