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G4: Grounding-guided Goal-oriented Dialogues Generation with Multiple Documents
Goal-oriented dialogues generation grounded in multiple documents(MultiDoc2Dial) is a challenging and realistic task.
Model Composition for Multimodal Large Language Models
In this paper, we propose a new paradigm through the model composition of existing MLLMs to create a new model that retains the modal understanding capabilities of each original model.
Unleashing Potential of Evidence in Knowledge-Intensive Dialogue Generation
To fully Unleash the potential of evidence, we propose a framework to effectively incorporate Evidence in knowledge-Intensive Dialogue Generation (u-EIDG).
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