Language Models for Code Generation

On the 7-April-2022 at 11:00 a.m. the ninth lecture of the Living Lab lecture series took place. Klaudia-Doris Thellmann and Bernhard Stadler talked about Language Models for Code Generation. Add this event to you calendar (iCal).

Language Models for Code Generation

Efforts to automatically generate source code from natural language instructions to overcome the human-machine language barrier have existed since the early days of computer science. As a result, numerous approaches have emerged over the last decades, ranging from statistical methods with focus on rule induction or probabilistic grammars to artificial neural networks. In the last few years, large-scale pre-trained neural language models have shown impressive performance on a variety of natural language processing tasks and have also become the basis for a growing number of programming-related tasks such as code completion or synthesizing code from natural language descriptions.

In this talk, ScaDS.AI scientific researchers Klaudia-Doris Thellmann and Bernhard Stadler gave an overview of state-of-the-art language models for program synthesis. Furthermore, they presented basic characteristics of these models and discussed several of their limitations. A critical weakness of these language models is systematic reasoning, which is crucial for understanding the programming task at hand and generating program code. One possible direction of research that could help alleviate these limitations is the inclusion of structural knowledge – an attempt they have made in this regard and briefly introduced.

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Living Lab Lecture Series

The Living Lab Lecture Series gives you an in-depth insight into the many research topics of ScaDS.AI Dresden/Leipzig. From Natural Language Processing to Ethics and Moral Code in AI, a great variety of topics are discussed. You can join our lectures every first thursday of the month or watch them on YouTube afterwards. If you have ideas for topics to discuss in the future, please let our Living Lab team know. We suggest for you to regularly check our event calendar, to never miss out on upcoming lectures or other interesting events organized by or in cooperation with our center.

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