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A reasoning and value alignment test to assess advanced gpt reasoning
In response to diverse perspectives on artificial general intelligence (AGI), ranging from
potential safety and ethical concerns to more extreme views about the threats it poses to …
potential safety and ethical concerns to more extreme views about the threats it poses to …
Supporting text entry in virtual reality with large language models
Text entry in virtual reality (VR) often faces challenges in terms of efficiency and task loads.
Prior research has explored various solutions, including specialized keyboard layouts …
Prior research has explored various solutions, including specialized keyboard layouts …
An energy-based model for word-level autocompletion in computer-aided translation
Word-level AutoCompletion (WLAC) is a rewarding yet challenging task in Computer-aided
Translation. Existing work addresses this task through a classification model based on a …
Translation. Existing work addresses this task through a classification model based on a …
Generative input: Towards next-generation input methods paradigm
K Ding, Y Wang, Z Xu, Z Jia, S Wang, C Liu… - ar**s in Low-Resource Scenarios
Pinyin input method engine (IME) refers to the transformation tool from pinyin sequence to
Chinese characters, which is widely used on mobile phone applications. Due to the …
Chinese characters, which is widely used on mobile phone applications. Due to the …
Personalized Language Model Learning on Text Data Without User Identifiers
In many practical natural language applications, user data are highly sensitive, requiring
anonymous uploads of text data from mobile devices to the cloud without user identifiers …
anonymous uploads of text data from mobile devices to the cloud without user identifiers …
Still All Greeklish to Me: Greeklish to Greek transliteration
Modern Greek is normally written in the Greek alphabet. In informal online messages,
however, Greek is often written using characters available on Latin-character keyboards, a …
however, Greek is often written using characters available on Latin-character keyboards, a …
Explainable Neural Networks with Guarantees: A Sparse Estimation Approach
Balancing predictive power and interpretability has long been a challenging research area,
particularly in powerful yet complex models like neural networks, where nonlinearity …
particularly in powerful yet complex models like neural networks, where nonlinearity …