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Style Vectors for Steering Generative Large Language Models.

, , , , , , , and . EACL (Findings), page 782-802. Association for Computational Linguistics, (2024)

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Style Vectors for Steering Generative Large Language Model., , , , , , , and . CoRR, (2024)Style Vectors for Steering Generative Large Language Models., , , , , , , and . EACL (Findings), page 782-802. Association for Computational Linguistics, (2024)A qualitative study of Machine Learning practices and engineering challenges in Earth Observation., and . it Inf. Technol., 63 (4): 235-247 (2021)Requirements for Explainability and Acceptance of Artificial Intelligence in Collaborative Work., , , , , and . HCI (40), volume 14050 of Lecture Notes in Computer Science, page 355-380. Springer, (2023)Don't Forget Your Roots! Using Provenance Data for Transparent and Explainable Development of Machine Learning Models., and . ASE Workshops, page 37-40. IEEE, (2019)Semantics Derived Automatically from Language Corpora Contain Human-like Moral Choices., , , and . AIES, page 37-44. ACM, (2019)BERT has a Moral Compass: Improvements of ethical and moral values of machines., , , , and . CoRR, (2019)Gender Bias in BERT - Measuring and Analysing Biases through Sentiment Rating in a Realistic Downstream Classification Task., and . CoRR, (2023)The Moral Choice Machine., , , , and . Frontiers Artif. Intell., (2020)ChatGPT is fun, but it is not funny! Humor is still challenging Large Language Models., and . WASSA@ACL, page 325-340. Association for Computational Linguistics, (2023)