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Open HiWi Position in the Area of Explainable AI in NLP

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Towards Optimizing and Evaluating a Retrieval Augmented QA Chatbot using LLMs with Human-in-the-Loop.

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Wessel Poelman

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Efficient Few-shot Learning for Multi-label Classification of Scientific Documents with Many Classes

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Challenges in Domain-Specific Abstractive Summarization and How to Overcome Them.

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Guided Research Maria Nakhla

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Efficient Domain Adaptation of Sentence Embeddings Using Adapters

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Juraj Vladika

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internships in the industry. Research Interests Natural Language Processing NLP Applications for from Text and Structured Knowledge The research project VeriSci aims to develop NLP solutions for the Show below the text Hide deep learning,nlp,sebis,staff Team Member E-Mail juraj.vladika [at] tum.de

Master's Thesis Alexandra Seibicke

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Phillip Schneider

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Techniques. In Practical Solutions for Diverse Real-World NLP Applications. Cham: Springer International of applications, architectures, and functional components. In 6th Workshop on NLP for ConvAI (ACL) Advisor /Sebis Public Website/Team/Alumni/Phillip Schneider Not template related Hide Hide Hide nlp

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