no code implementations • ALTA 2020 • Vincent Nguyen, Maciek Rybinski, Sarvnaz Karimi, Zhenchang Xing
Finding information related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually.
no code implementations • ALTA 2021 • Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing
Contemporary methods use fine-tuned transformer encoder semantic representations of the classification token in the text-pair sequence from the transformer’s final layer for class prediction.
no code implementations • ALTA 2021 • Vincent Nguyen, Sarvnaz Karimi, Maciej Rybinski, Zhenchang Xing
Transformer encoder models exhibit strong performance in single-domain applications.
no code implementations • 30 Nov 2023 • Dawen Zhang, Boming Xia, Yue Liu, Xiwei Xu, Thong Hoang, Zhenchang Xing, Mark Staples, Qinghua Lu, Liming Zhu
The advent of Generative AI has marked a significant milestone in artificial intelligence, demonstrating remarkable capabilities in generating realistic images, texts, and data patterns.
no code implementations • 22 Nov 2023 • Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Stefan Harrer, Jon Whittle
Foundation models, such as large language models (LLMs), have been widely recognised as transformative AI technologies due to their capabilities to understand and generate content, including plans with reasoning capabilities.
no code implementations • 14 Sep 2023 • Terry Yue Zhuo, Xiaoning Du, Zhenchang Xing, Jiamou Sun, Haowei Quan, Li Li, Liming Zhu
The correctness and unambiguity of API usage among these code models are crucial for achieving desirable program functionalities, requiring them to learn various API fully qualified names structurally and semantically.
no code implementations • 19 Jul 2023 • Dawen Zhang, Thong Hoang, Shidong Pan, Yongquan Hu, Zhenchang Xing, Mark Staples, Xiwei Xu, Qinghua Lu, Aaron Quigley
To the best of our knowledge, this is the first empirical study aimed at identifying the implications of AI adoption in language tests from a test-taker perspective.
no code implementations • 8 Jul 2023 • Dawen Zhang, Pamela Finckenberg-Broman, Thong Hoang, Shidong Pan, Zhenchang Xing, Mark Staples, Xiwei Xu
In this paper, we explore these challenges and provide our insights on how to implement technical solutions for the RTBF, including the use of differential privacy, machine unlearning, model editing, and prompt engineering.
no code implementations • 3 Jul 2023 • Jason Ching Yuen Siu, Jieshan Chen, Yujin Huang, Zhenchang Xing, Chunyang Chen
We further implemented our findings into a multi-faceted search-enabled gallery.
no code implementations • 7 Jun 2023 • Mengyu Chen, Zhenchang Xing, Jieshan Chen, Chunyang Chen, Qinghua Lu
Although their capabilities of processing user intents have been developed rapidly, virtual assistants in most platforms are only capable of handling pre-defined high-level tasks supported by extra manual efforts of developers.
1 code implementation • 31 May 2023 • Terry Yue Zhuo, Zhou Yang, Zhensu Sun, YuFei Wang, Li Li, Xiaoning Du, Zhenchang Xing, David Lo
This paper fills this gap by conducting a comprehensive and integrative survey of data augmentation for source code, wherein we systematically compile and encapsulate existing literature to provide a comprehensive overview of the field.
no code implementations • 9 May 2023 • Qinghua Lu, Liming Zhu, Xiwei Xu, Yue Liu, Zhenchang Xing, Jon Whittle
The recent release of large language model (LLM) based chatbots, such as ChatGPT, has attracted huge interest in foundation models.
no code implementations • 13 Apr 2023 • Qinghua Lu, Liming Zhu, Xiwei Xu, Zhenchang Xing, Jon Whittle
The release of ChatGPT has drawn huge interests on foundations models.
no code implementations • 7 Feb 2023 • Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu
The right to be forgotten (RTBF) is motivated by the desire of people not to be perpetually disadvantaged by their past deeds.
no code implementations • 30 Jan 2023 • Terry Yue Zhuo, Yujin Huang, Chunyang Chen, Zhenchang Xing
We believe that our findings may give light on future efforts to determine and mitigate the ethical hazards posed by machines in LLM applications.
1 code implementation • 15 Jun 2022 • Mulong Xie, Zhenchang Xing, Sidong Feng, Chunyang Chen, Liming Zhu, Xiwei Xu
These principles are domain-independent and have been widely adopted by practitioners to structure content on GUIs to improve aesthetic pleasant and usability.
no code implementations • 9 Mar 2022 • Qinghua Lu, Liming Zhu, Xiwei Xu, Jon Whittle, Zhenchang Xing
Although AI is transforming the world, there are serious concerns about its ability to behave and make decisions responsibly.
no code implementations • 5 Jan 2021 • Jiamou Sun, Zhenchang Xing, Hao Guo, Deheng Ye, Xiaohong Li, Xiwei Xu, Liming Zhu
The extracted aspects from an ExploitDB post are then composed into a CVE description according to the suggested CVE description templates, which is must-provided information for requesting new CVEs.
no code implementations • 25 Dec 2020 • Xuejiao Zhao, Huanhuan Chen, Zhenchang Xing, Chunyan Miao
However, when a query is complex, developers need to repeatedly refine the search keywords and open a large number of web pages to find and summarize answers.
no code implementations • 15 Oct 2020 • Chi Chen, Xin Peng, Zhenchang Xing, Jun Sun, Xin Wang, Yifan Zhao, Wenyun Zhao
APIRec-CST is a deep learning model that combines the API usage with the text information in the source code based on an API Context Graph Network and a Code Token Network that simultaneously learn structural and textual features for API recommendation.
2 code implementations • 12 Aug 2020 • Jieshan Chen, Mulong Xie, Zhenchang Xing, Chunyang Chen, Xiwei Xu, Liming Zhu, Guoqiang Li
We conduct the first large-scale empirical study of seven representative GUI element detection methods on over 50k GUI images to understand the capabilities, limitations and effective designs of these methods.
no code implementations • 6 Jul 2020 • Vincent Nguyen, Maciek Rybinski, Sarvnaz Karimi, Zhenchang Xing
Finding answers related to a pandemic of a novel disease raises new challenges for information seeking and retrieval, as the new information becomes available gradually.
1 code implementation • 1 Mar 2020 • Jieshan Chen, Chunyang Chen, Zhenchang Xing, Xiwei Xu, Liming Zhu, Guoqiang Li, Jinshui Wang
However, the prerequisite of using screen readers is that developers have to add natural-language labels to the image-based components when they are developing the app.
no code implementations • WS 2019 • Vincent Nguyen, Sarvnaz Karimi, Zhenchang Xing
We report on our system for textual inference and question entailment in the medical domain for the ACL BioNLP 2019 Shared Task, MEDIQA.