RODE 发表于 2025-3-26 23:51:38
Optimizing Conversational Commerce Involving Multilingual Consumers Through Large Language Models’ Nd customer service, NLP-enabled AI agents are being integrated into various steps of the order-to-cash (OTC) process. Social media and messaging platforms such as Facebook Messenger have become pivotal for businesses, especially during and after the COVID-19 pandemic, but adoption has been limited.glacial 发表于 2025-3-27 02:34:56
A Map of Exploring Human Interaction Patterns with LLM: Insights into Collaboration and Creativityconsiderable discussion within the Human-AI Interaction (HAII) community. Numerous studies explore this interaction from technical, design, and empirical perspectives. However, the majority of current literature reviews concentrate on interactions across the wider spectrum of AI, with limited attentGUMP 发表于 2025-3-27 05:44:29
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Enabling Human-Centered Machine Translation Using Concept-Based Large Language Model Prompting and Tg instructions, interactive concept-based post-editing, and the archiving of concepts in post-editing and translation memories. By implementing GPT-4 prompts for concept-based steering in English-to-Chinese translation, we explore its effectiveness compared to traditional machine translation methodsHypopnea 发表于 2025-3-27 21:28:35
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ChatGPT and Language Translation, meanwhile, has a storied history of evolving in response to ever-improving Machine Translation (MT). In the interest of comparing this new tool to existing human and Neural Machine Translation (NMT) tools, this study presents a focused examination of translation, comparing the ability of ChatGPT,涂掉 发表于 2025-3-28 04:02:13
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FER-Pep: A Deep Learning Based Facial Emotion Recognition Framework for Humanoid Robot Pepperin the domain of human-robot communication. A key component in doing this is the robot’s aptitude to perceive and understand human emotional states. In the larger domains of human-machine interaction and affective computing, emotion detection has received a lot of attention. In this research, an imp