为了填补这一空白,作者首先提出了一个新的任务:多模态对话回复生成 (multimodal dialogue response generation,MDRG)—— 在给定的对话上下文中,一个模型需要生成文本或图像作为回复。 学习这样的 MDRG 模型通常需要包含文本和图像的多模态对话,而这些对话很难获得。出于实践中的挑战,我们在一个自然的假设下考虑 MDRG...
【论文阅读】Divter:Multimodal Dialogue Response Generation 多模态对话生成 闵野 百度 员工1 人赞同了该文章 摘要 使用图像进行回复是智能对话代理的重要能力;然而过去的工作都是着重于基于检索的方法,而基于生成的方法没有太多工作。为了填补这个空白,本文提出了多模态对话响应生成任务(MDRG)——在给定对话背...
Multimodal Dialogue Response Generation (MDRG) is a recently proposed task where the model needs to generate responses in texts, images, or a blend of both based on the dialogue context. Due to the lack of a large-scale dataset specifically for this task and the benefits of leveraging ...
To fill in the gaps, we first present a multimodal dialogue generation model, which takes the dialogue history as input, then generates a textual sequence or an image as response. Learning such a model often requires multimodal dialogues containing both texts and images which are difficult to ...
• Text-free/conditioned Image/Video Synthesis; Temporal Coherence in Video Generation; Image/Video Editing/Inpainting; LLM-empowered Multimodal Generation • Multimodal Dialogue Response Generation; Image/Video Dialogue • Ima...
Ordinal and Attribute Aware Response Generation in a Multimodal Dialogue System 来自 掌桥科研 喜欢 0 阅读量: 70 作者:H Chauhan,M Firdaus,A Ekbal,P Bhattacharyya 摘要: Multimodal dialogue systems have opened new frontiers in the traditional goal-oriented dialogue systems. The state-of-the-art ...
🔥🔥🔥Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM Project Page|Paper|GitHub A speech-to-speech dialogue model with both low-latency and high intelligence while the training process is based on a frozen LLM. ✨ ...
InputCurrent user utterance, Dialogue context, Multimodal context OutputBelief state for current user utterance MetricsSlot F1, Intent F1 Sub-Task #4Multimodal Dialog Response Generation GoalTo generate Assistant responses InputCurrent user utterance, Dialog context, Multimodal context, (Ground-truth API ...
In multimodal human computer dialog, non-verbal channels, such as facial expression, posture, gesture, etc, combined with spoken information, are also important in the procedure of dialogue. Nowadays, in spite of high performan
prediction making and response generation. Multimodal vs. Unimodal AI models The multimodal and unimodal models represent two different approaches to developingartificial intelligence systems. While the unimodal model focuses on training systems to perform a single task using a single data source, the mul...