Zobrazeno 1 - 10
of 896
pro vyhledávání: '"Yuan, Yifei"'
This letter presents a multi-scenario adaptable intelligent robot simulation platform based on LIDAR-inertial fusion, with three main features: (1 The platform includes an versatile robot model that can be freely controlled through manual control or
Externí odkaz:
http://arxiv.org/abs/2407.14102
Autor:
Zhang, Weijia, Aliannejadi, Mohammad, Yuan, Yifei, Pei, Jiahuan, Huang, Jia-Hong, Kanoulas, Evangelos
Large language models (LLMs) often produce unsupported or unverifiable information, known as "hallucinations." To mitigate this, retrieval-augmented LLMs incorporate citations, grounding the content in verifiable sources. Despite such developments, m
Externí odkaz:
http://arxiv.org/abs/2406.15264
Multiple-input multiple-output (MIMO) has been a key technology of wireless communications for decades. A typical MIMO system employs antenna arrays with the inter-antenna spacing being half of the signal wavelength, which we term as compact MIMO. Lo
Externí odkaz:
http://arxiv.org/abs/2406.12270
Autor:
Li, Wenyan, Zhang, Xinyu, Li, Jiaang, Peng, Qiwei, Tang, Raphael, Zhou, Li, Zhang, Weijia, Hu, Guimin, Yuan, Yifei, Søgaard, Anders, Hershcovich, Daniel, Elliott, Desmond
Food is a rich and varied dimension of cultural heritage, crucial to both individuals and social groups. To bridge the gap in the literature on the often-overlooked regional diversity in this domain, we introduce FoodieQA, a manually curated, fine-gr
Externí odkaz:
http://arxiv.org/abs/2406.11030
Autor:
Xu, Xieyang, Yuan, Yifei, Kincaid, Zachary, Krishnamurthy, Arvind, Mahajan, Ratul, Walker, David, Zhai, Ennan
Relational network verification is a new approach to validating network changes. In contrast to traditional network verification, which analyzes specifications for a single network snapshot, relational network verification analyzes specifications con
Externí odkaz:
http://arxiv.org/abs/2403.17277
Autor:
Yuan, Yifei, Shi, Chen, Wang, Runze, Chen, Liyi, Hu, Renjun, Zhang, Zengming, Jiang, Feijun, Lam, Wai
Generative query rewrite generates reconstructed query rewrites using the conversation history while rely heavily on gold rewrite pairs that are expensive to obtain. Recently, few-shot learning is gaining increasing popularity for this task, whereas
Externí odkaz:
http://arxiv.org/abs/2403.11873
Web agents powered by Large Language Models (LLMs) have demonstrated remarkable abilities in planning and executing multi-step interactions within complex web-based environments, fulfilling a wide range of web navigation tasks. Despite these advancem
Externí odkaz:
http://arxiv.org/abs/2402.15057
In mixed-initiative conversational search systems, clarifying questions are used to help users who struggle to express their intentions in a single query. These questions aim to uncover user's information needs and resolve query ambiguities. We hypot
Externí odkaz:
http://arxiv.org/abs/2402.07742
Pretrained large Vision-Language models have drawn considerable interest in recent years due to their remarkable performance. Despite considerable efforts to assess these models from diverse perspectives, the extent of visual cultural awareness in th
Externí odkaz:
http://arxiv.org/abs/2402.06015
Let the LLMs Talk: Simulating Human-to-Human Conversational QA via Zero-Shot LLM-to-LLM Interactions
Conversational question-answering (CQA) systems aim to create interactive search systems that effectively retrieve information by interacting with users. To replicate human-to-human conversations, existing work uses human annotators to play the roles
Externí odkaz:
http://arxiv.org/abs/2312.02913