Zobrazeno 1 - 10
of 2 507
pro vyhledávání: '"Pan, Lin"'
Autor:
Yuan, Jiaqing, Pan, Lin, Hang, Chung-Wei, Guo, Jiang, Jiang, Jiarong, Min, Bonan, Ng, Patrick, Wang, Zhiguo
Large language models (LLMs) have shown remarkable performance on a variety of NLP tasks, and are being rapidly adopted in a wide range of use cases. It is therefore of vital importance to holistically evaluate the factuality of their generated outpu
Externí odkaz:
http://arxiv.org/abs/2404.16164
Urban region profiling is influential for smart cities and sustainable development. However, extracting fine-grained semantics and generating robust urban region embeddings from noisy and incomplete urban data is challenging. In response, we present
Externí odkaz:
http://arxiv.org/abs/2402.01163
Autor:
Lan, Wuwei, Wang, Zhiguo, Chauhan, Anuj, Zhu, Henghui, Li, Alexander, Guo, Jiang, Zhang, Sheng, Hang, Chung-Wei, Lilien, Joseph, Hu, Yiqun, Pan, Lin, Dong, Mingwen, Wang, Jun, Jiang, Jiarong, Ash, Stephen, Castelli, Vittorio, Ng, Patrick, Xiang, Bing
A practical text-to-SQL system should generalize well on a wide variety of natural language questions, unseen database schemas, and novel SQL query structures. To comprehensively evaluate text-to-SQL systems, we introduce a UNIfied benchmark for Text
Externí odkaz:
http://arxiv.org/abs/2305.16265
Autor:
Chang, Shuaichen, Wang, Jun, Dong, Mingwen, Pan, Lin, Zhu, Henghui, Li, Alexander Hanbo, Lan, Wuwei, Zhang, Sheng, Jiang, Jiarong, Lilien, Joseph, Ash, Steve, Wang, William Yang, Wang, Zhiguo, Castelli, Vittorio, Ng, Patrick, Xiang, Bing
Neural text-to-SQL models have achieved remarkable performance in translating natural language questions into SQL queries. However, recent studies reveal that text-to-SQL models are vulnerable to task-specific perturbations. Previous curated robustne
Externí odkaz:
http://arxiv.org/abs/2301.08881
Automatic segmentation of curvilinear objects in medical images plays an important role in the diagnosis and evaluation of human diseases, yet it is a challenging uncertainty in the complex segmentation tasks due to different issues such as various i
Externí odkaz:
http://arxiv.org/abs/2301.07475
Autor:
Zhao, Yiyun, Jiang, Jiarong, Hu, Yiqun, Lan, Wuwei, Zhu, Henry, Chauhan, Anuj, Li, Alexander, Pan, Lin, Wang, Jun, Hang, Chung-Wei, Zhang, Sheng, Dong, Marvin, Lilien, Joe, Ng, Patrick, Wang, Zhiguo, Castelli, Vittorio, Xiang, Bing
Recently, there has been increasing interest in synthesizing data to improve downstream text-to-SQL tasks. In this paper, we first examined the existing synthesized datasets and discovered that state-of-the-art text-to-SQL algorithms did not further
Externí odkaz:
http://arxiv.org/abs/2212.08785
Publikováno v:
In Journal of Environmental Chemical Engineering October 2024 12(5)
Publikováno v:
In Knowledge-Based Systems 5 September 2024 299
Publikováno v:
In FlatChem September 2024 47