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Allerton Conference on Communication, Control, and Computing, 2018
In this paper, we introduce an enhanced schema-less database language that supports prediction queries natively-the Prediction Query Language (PQL). Data in the PQL representation can be naturally modeled as an exchangeable multi-dimensional array.
Devavrat Shah +4 more
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In this paper, we introduce an enhanced schema-less database language that supports prediction queries natively-the Prediction Query Language (PQL). Data in the PQL representation can be naturally modeled as an exchangeable multi-dimensional array.
Devavrat Shah +4 more
semanticscholar +1 more source
IEEE International Conference on Computer Vision, 2019
Actor and action video segmentation from natural language query aims to selectively segment the actor and its action in a video based on an input textual description.
H. Wang, Cheng Deng, Junchi Yan, D. Tao
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Actor and action video segmentation from natural language query aims to selectively segment the actor and its action in a video based on an input textual description.
H. Wang, Cheng Deng, Junchi Yan, D. Tao
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Natural language query filtration in the Conceptual Query Language
Proceedings of the Thirtieth Hawaii International Conference on System Sciences, 2002Natural language (NL) interfaces for database query formulation have always been recognized as a much needed enhancement for end-users. Poor performances with earlier NL systems had led to a lull in research in this field. However, latter-day experiments and systems appear to be sufficiently more promising to warrant continued and further research in ...
V. Owei, null Hyeun-Suk Rhee, S. Navathe
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Gemma 2: Improving Open Language Models at a Practical Size
arXiv.orgIn this work, we introduce Gemma 2, a new addition to the Gemma family of lightweight, state-of-the-art open models, ranging in scale from 2 billion to 27 billion parameters.
Gemma Team Morgane Riviere +194 more
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Information Sciences, 1991
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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North American Chapter of the Association for Computational Linguistics
Retrieval-Augmented Large Language Models (LLMs), which incorporate the non-parametric knowledge from external knowledge bases into LLMs, have emerged as a promising approach to enhancing response accuracy in several tasks, such as Question-Answering (QA)
Soyeong Jeong +4 more
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Retrieval-Augmented Large Language Models (LLMs), which incorporate the non-parametric knowledge from external knowledge bases into LLMs, have emerged as a promising approach to enhancing response accuracy in several tasks, such as Question-Answering (QA)
Soyeong Jeong +4 more
semanticscholar +1 more source
Update Languages vs. Query Languages
1992Two kinds of basic operations can be performed on a database: update it, i.e. modify the data values stored in it, and query it, i.e. ask questions about its data value. In this work we deal with update and query languages for the relational database model, introduced by Codd in [1], Some query languages were developed since the origin of this model, e.
R. Asher Hasson, Johann A. Makowsky
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2022
Modern era is characterized by data high availability. Databases is the most common approach used for storing large amount of data as they have a lot of advantages for data storage and manipulation.Additionally, the high data availability has emerged new data exploitation methods. The most commonly used are referred by the generic term knowledge mining.
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Modern era is characterized by data high availability. Databases is the most common approach used for storing large amount of data as they have a lot of advantages for data storage and manipulation.Additionally, the high data availability has emerged new data exploitation methods. The most commonly used are referred by the generic term knowledge mining.
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Alignment faking in large language models
arXiv.orgWe present a demonstration of a large language model engaging in alignment faking: selectively complying with its training objective in training to prevent modification of its behavior out of training. First, we give Claude 3 Opus a system prompt stating
R. Greenblatt +19 more
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