CV
Here is an overview of my professional experience, education, and skills. For more details, download the PDF version by clicking on the icon to the right.
Basics
| Name | Martin Funkquist |
| Label | AI Researcher |
| martin.funkquist [AT] gmail.com | |
| Url | https://martin36.github.io/ |
| Summary | PhD Student in Artificial Intelligence at Linköping University, Sweden, working on the integration of Symbolic AI and Deep Reinforcement Learning. |
Education
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2022.10 - Now Linköping, Sweden
PhD
Linköping University, Linköping, Sweden
Artificial Intelligence - Symbolic AI and Deep Reinforcement Learning
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2022.04 - 2022.09 Darmstadt, Germany
Research Intern
Technical University Darmstadt, Darmstadt, Germany
Artificial Intelligence - Natural Language Processing
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2018.10 - 2019.02 Zagreb, Croatia
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2017.09 - 2019.06 Stockholm, Sweden
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2013.09 - 2017.06 Stockholm, Sweden
Bachelor's degree
KTH, Royal Institute of Technology, Stockholm, Sweden
Simulation Technology and Virtual Design
Publications
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2024 Learning to Ground Existentially Quantified Goals
Proceedings of the Twenty-First International Conference on Principles of Knowledge Representation and Reasoning (KR 2024)
Here we study how to learn to ground existentially quantified goals in Classical Planning. This is an important problem as human instructions tend to result in quantified goals rather than grounded, but many planners do not support quantified goals.
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2023 CiteBench: A benchmark for Scientific Citation Text Generation
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
In this paper, we introduce CiteBench, a benchmark for scientific citation text generation. CiteBench is a large-scale dataset for citation text generation, unifying multiple tasks in a single benchmark.
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2021 Combining sentence and table evidence to predict veracity of factual claims using TaPaS and RoBERTa
Proceedings of the Fourth Workshop on Fact Extraction and VERification (FEVER), 2021
The paper proposes a method for solving the FEVEROUS task, which is a task of predicting the veracity of factual claims using both sentence and table evidence.
Work
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2019.09 - 2022.03 Software Engineering Consultant
Netlight AB
Worked as a Software Engineering consultant for various clients, ranging from governmental agencies to media magnates. Tasks varied from front-end and back-end development to handling communication with clients.
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2017.06 - 2019.08 Software Engineer
Atiendo AB
Software Engineer working mostly on various web applications, and data visualization projects.
Skills
| Computer Science | |
| Reinforcement Learning | |
| Deep Learning | |
| Machine Learning | |
| Symbolic AI | |
| Natural Language Processing |
| Programming | |
| Python | |
| PyTorch | |
| TensorFlow | |
| Keras | |
| JavaScript |
Languages
| Swedish | |
| Native speaker |
| English | |
| Fluent |
Interests
| Artificial Intelligence | |
| Artificial General Intelligence | |
| Reinforcement Learning | |
| Deep Learning | |
| Machine Learning | |
| Neuro-Symbolic AI | |
| Natural Language Processing |
| Other | |
| Reading | |
| Music | |
| Guitar Playing | |
| Powerlifting | |
| Traveling | |
| Cooking |