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  • 2024

    AdaptEval: Evaluating Large Language Models on Domain Adaptation for Text Summarization

    Afzal, A., Chalumattu, R., Matthes, F. & Mascarell, L., 2024, 1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual, CustomNLP4U 2024 - Proceedings of the Workshop. Kumar, S., Balachandran, V., Park, C. Y., Shi, W., Hayati, S. A., Tsvetkov, Y., Smith, N. A., Hajishirzi, H., Kang, D. & Jurgens, D. (eds.). Association for Computational Linguistics (ACL), p. 76-85 10 p. (1st Workshop on Customizable NLP: Progress and Challenges in Customizing NLP for a Domain, Application, Group, or Individual, CustomNLP4U 2024 - Proceedings of the Workshop).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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

    Afzal, A., Kowsik, A., Fani, R. & Matthes, F., 2024, DaSH 2024 - Data Science with Human-in-the-Loop, Proceedings of the DaSHWorkshop at NAACL 2024. Dragut, E., Li, Y., Popa, L., Vucetic, S. & Srivastava, S. (eds.). Association for Computational Linguistics (ACL), p. 4-16 13 p. (DaSH 2024 - Data Science with Human-in-the-Loop, Proceedings of the DaSHWorkshop at NAACL 2024).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review