Marcel: A Lightweight and Open-Source Conversational Agent for University Student Support (2025.emnlp-demos)
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Jan Trienes, Anastasiia Derzhanskaia, Roland Schwarzkopf, Markus Mühling, Jörg Schlötterer, Christin Seifert
| Challenge: | Existing systems that provide contextually relevant information are difficult to deploy in a university setting . a number of universities are developing or using chatbots to support prospective students . |
| Approach: | They propose a conversational agent called Marcel that uses retrieval-augmented generation to provide contextually relevant information. |
| Outcome: | The proposed system is designed to provide fast and personalized responses while reducing workload. |
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