MULTIMODAL CHATBOT: IMAGE & TEXT CONVERSATIONAL GENERATION

This paper presented a multimodal chatbot framework for imagetext conversational generation. By integrating vision encoders with sequencetosequence language models, the proposed system achieves contextaware and visually grounded responses. Future work includes incorporating retrievalaugmented multimodal generation, supporting videobased conversational inputs, applying reinforcement learning for response optimization, and enhancing safety mechanisms to reduce hallucination and bias in multimodal systems.

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