Paper tables with annotated results for MRJ-Agent: An Effective Jailbreak Agent for Multi-Round Dialogue
When setting up a Task dialogue, it is better to have a comprehensive Process chart that can provide Task logic and the response of each round of agent. In this way, the overall building speed will be faster and the changes required in the later stage of Task will be smaller. ...
A multi-round dialogue semantic analysis method and system based on a long short-term memory network, and a computer device and a computer-readable storage medium. The method comprises: acquiring current dialogue information; generating a current dialogue representative vector according to the current ...
We combine the material with each question/instruction with a set of manually designed template as the initial input of a user to start a dialogue with AI assistant. For each input, we generate a 2~4-round dialogue. To Do Release the rest part of the data for Questions about the World....
multi-round dialogue speech generation. CoVoMix first converts dialogue text into multiple streams of discrete tokens, with each token stream representing semantic information for individual talkers. These token streams are then fed into a flow-matching based a...
(MRG), opening up a promising direction for instance-level multimodal dialogues. We present a new benchmark and an efficient vision-language model for this purpose. The new benchmark, named CB-300K, spans challenges including multi-round dialogue, complex spatial relationships among multiple ...
DeepSpeed-VisualChat is distinguished by its outstanding scalability, which was made possible by thoughtfully integrating the DeepSpeed framework. This framework exhibits exceptional scalability and pushes the limits of what is possible in multi-modal dialogue systems ...
In this paper, we propose MoChat, a multimodal large language model capable of spatio-temporal grounding of human motion and understanding multi-turn dialogue context. To achieve these capabilities, we group the spatial information of each skeleton frame based on human anatomical structure and then ...
In multi-turn dialogue generation, dialogue contexts have been shown to have an important influence on the reasoning of the next round of dialogue. A multi... Z Gan,B Zeng,MDM Cheng - 《Journal of Intelligent & Fuzzy Systems Applications in Engineering & Technology》 被引量: 0发表: 2021年...
bring the user’s idea into reality step by step. In this section, we will detail how we empower Hunyuan-DiT with the ability to perform multi-round conversations and image generation. We train MLLM to understand the multi-round user dialogue and output the new text prompt for image ...