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Found 4 papers, 3 papers with code
Improving Multi-label Malevolence Detection in Dialogues through Multi-faceted Label Correlation Enhancement
The detection of malevolent dialogue responses is attracting growing interest.
A Human-machine Collaborative Framework for Evaluating Malevolence in Dialogues
HMCEval casts dialogue evaluation as a sample assignment problem, where we need to decide to assign a sample to a human or a machine for evaluation.
Detecting and Classifying Malevolent Dialogue Responses: Taxonomy, Data and Methodology
In this paper, we define the task of Malevolent Dialogue Response Detection and Classification (MDRDC).
Improving Background Based Conversation with Context-aware Knowledge Pre-selection
The latter generate responses thatare natural but not necessarily effective in leveraging background knowledge.
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