Zobrazeno 1 - 10
of 220
pro vyhledávání: '"Liang Hongru"'
Medical dialogue systems aim to provide medical services through patient-agent conversations. Previous methods typically regard patients as ideal users, focusing mainly on common challenges in dialogue systems, while neglecting the potential biases o
Externí odkaz:
http://arxiv.org/abs/2410.06094
It is time-saving to build a reading assistant for customer service representations (CSRs) when reading user manuals, especially information-rich ones. Current solutions don't fit the online custom service scenarios well due to the lack of attention
Externí odkaz:
http://arxiv.org/abs/2408.03633
Automatic extraction of procedural graphs from documents creates a low-cost way for users to easily understand a complex procedure by skimming visual graphs. Despite the progress in recent studies, it remains unanswered: whether the existing studies
Externí odkaz:
http://arxiv.org/abs/2408.03630
Autor:
Zhang, Tong, Qin, Peixin, Deng, Yang, Huang, Chen, Lei, Wenqiang, Liu, Junhong, Jin, Dingnan, Liang, Hongru, Chua, Tat-Seng
Large language models (LLMs) are increasingly used to meet user information needs, but their effectiveness in dealing with user queries that contain various types of ambiguity remains unknown, ultimately risking user trust and satisfaction. To this e
Externí odkaz:
http://arxiv.org/abs/2405.12063
Autor:
Zhang, Tong, Huang, Chen, Deng, Yang, Liang, Hongru, Liu, Jia, Wen, Zujie, Lei, Wenqiang, Chua, Tat-Seng
We investigate non-collaborative dialogue agents, which are expected to engage in strategic conversations with diverse users, for securing a mutual agreement that leans favorably towards the system's objectives. This poses two main challenges for exi
Externí odkaz:
http://arxiv.org/abs/2403.06769
Accurate knowledge selection is critical in knowledge-grounded dialogue systems. Towards a closer look at it, we offer a novel perspective to organize existing literature, i.e., knowledge selection coupled with, after, and before generation. We focus
Externí odkaz:
http://arxiv.org/abs/2310.07659
Autor:
Liang, Hongru, Liu, Jingyao, Xiang, Yuanxin, Du, Jiachen, Zhou, Lanjun, Pan, Shushen, Lei, Wenqiang
Towards sufficient music searching, it is vital to form a complete set of labels for each song. However, current solutions fail to resolve it as they cannot produce diverse enough mappings to make up for the information missed by the gold labels. Bas
Externí odkaz:
http://arxiv.org/abs/2308.04805
Publikováno v:
Findings of the Association for Computational Linguistics: ACL 2023. (2023)
The machine reading comprehension (MRC) of user manuals has huge potential in customer service. However, current methods have trouble answering complex questions. Therefore, we introduce the Knowing-how & Knowing-that task that requires the model to
Externí odkaz:
http://arxiv.org/abs/2306.04187
Autor:
Lei, Wenqiang, Zhang, Yao, Song, Feifan, Liang, Hongru, Mao, Jiaxin, Lv, Jiancheng, Yang, Zhenglu, Chua, Tat-Seng
Proactive dialogue system is able to lead the conversation to a goal topic and has advantaged potential in bargain, persuasion and negotiation. Current corpus-based learning manner limits its practical application in real-world scenarios. To this end
Externí odkaz:
http://arxiv.org/abs/2204.07433
Autor:
Fu, Xiaozhe, Li, Wenxian, Liu, Cong, Luo, Xia, Lin, Qiang, Niu, Yinjie, Liang, Hongru, Ma, Baofu, Li, Ningqiu
Publikováno v:
In Fish and Shellfish Immunology October 2024 153
