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Found 4 papers, 0 papers with code
GrounDial: Human-norm Grounded Safe Dialog Response Generation
Current conversational AI systems based on large language models (LLMs) are known to generate unsafe responses, agreeing to offensive user input or including toxic content.
Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency
Referring image segmentation (RIS) aims to localize the object in an image referred by a natural language expression.
Grounding Counterfactual Explanation of Image Classifiers to Textual Concept Space
In this paper, we propose counterfactual explanation with text-driven concepts (CounTEX), where the concepts are defined only from text by leveraging a pre-trained multi-modal joint embedding space without additional concept-annotated datasets.
Learning Personalized Representations using Graph Convolutional Network
Then we propose a graph convolutional network(GCN) based model, namely Personalized Dynamic Routing Feature Encoder(PDRFE), that generates personalized customer representations learned from the built graph.
