Zobrazeno 1 - 10
of 60
pro vyhledávání: '"Kang, XiaoXi"'
Recent advances in artificial intelligence have seen Large Language Models (LLMs) demonstrate notable proficiency in causal discovery tasks. This study explores the factors influencing the performance of LLMs in causal discovery tasks. Utilizing open
Externí odkaz:
http://arxiv.org/abs/2407.19638
Automatically evaluating the quality of responses in open-domain dialogue systems is a challenging but crucial task. Current evaluation metrics often fail to align with human judgments, especially when assessing responses that are grammatically corre
Externí odkaz:
http://arxiv.org/abs/2406.17300
The effectiveness of Large Language Models (LLMs) in legal reasoning is often limited due to the unique legal terminologies and the necessity for highly specialized knowledge. These limitations highlight the need for high-quality data tailored for co
Externí odkaz:
http://arxiv.org/abs/2406.13217
Autor:
Huang, Shuo, MacLean, William, Kang, Xiaoxi, Wu, Anqi, Qu, Lizhen, Xu, Qiongkai, Li, Zhuang, Yuan, Xingliang, Haffari, Gholamreza
Increasing concerns about privacy leakage issues in academia and industry arise when employing NLP models from third-party providers to process sensitive texts. To protect privacy before sending sensitive data to those models, we suggest sanitizing s
Externí odkaz:
http://arxiv.org/abs/2406.03749
Autor:
Zhan, Haolan, Li, Zhuang, Kang, Xiaoxi, Feng, Tao, Hua, Yuncheng, Qu, Lizhen, Ying, Yi, Chandra, Mei Rianto, Rosalin, Kelly, Jureynolds, Jureynolds, Sharma, Suraj, Qu, Shilin, Luo, Linhao, Soon, Lay-Ki, Azad, Zhaleh Semnani, Zukerman, Ingrid, Haffari, Gholamreza
Norm violations occur when individuals fail to conform to culturally accepted behaviors, which may lead to potential conflicts. Remediating norm violations requires social awareness and cultural sensitivity of the nuances at play. To equip interactiv
Externí odkaz:
http://arxiv.org/abs/2402.11178
Autor:
Kang, Xiaoxi, Qu, Lizhen, Soon, Lay-Ki, Trakic, Adnan, Zhuo, Terry Yue, Emerton, Patrick Charles, Grant, Genevieve
Publikováno v:
2023.findings-emnlp.929
Large Language Models (LLMs), such as ChatGPT, have drawn a lot of attentions recently in the legal domain due to its emergent ability to tackle a variety of legal tasks. However, it is still unknown if LLMs are able to analyze a legal case and perfo
Externí odkaz:
http://arxiv.org/abs/2310.14880
Autor:
Zhan, Haolan, Li, Zhuang, Wang, Yufei, Luo, Linhao, Feng, Tao, Kang, Xiaoxi, Hua, Yuncheng, Qu, Lizhen, Soon, Lay-Ki, Sharma, Suraj, Zukerman, Ingrid, Semnani-Azad, Zhaleh, Haffari, Gholamreza
Dialogue systems have been widely applied in many scenarios and are now more powerful and ubiquitous than ever before. With large neural models and massive available data, current dialogue systems have access to more knowledge than any people in thei
Externí odkaz:
http://arxiv.org/abs/2304.12026
Autor:
Sun, Yuxin, Zhao, Wensheng, Kang, Xiaoxi, Wang, Xiaoyu, Kim, Hakyung, Wan, Qin, Ge, Tong, Xie, Qing
Publikováno v:
In Journal of Voice January 2024
Publikováno v:
In Chemical Engineering Journal 1 October 2023 473
Publikováno v:
In Optical Materials June 2023 140