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KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection.

, , , , and . SemEval@ACL, page 629-637. Association for Computational Linguistics, (2023)

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On the Effects of Randomness on Stability of Learning with Limited Labelled Data: A Systematic Literature Review., , and . CoRR, (2023)Black-box Audit of YouTube's Video Recommendation: Investigation of Misinformation Filter Bubble Dynamics (Extended Abstract)., , , , , , , , , and . IJCAI, page 5349-5353. ijcai.org, (2022)An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes, , , , , , , , , and . Fifteenth ACM Conference on Recommender Systems, page 1-11. ACM, (September 2021)Best paper award.An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes., , , , , , , , , and . CoRR, (2022)Auditing YouTube's Recommendation Algorithm for Misinformation Filter Bubbles., , , , , , , , , and 1 other author(s). Trans. Recomm. Syst., 1 (1): 1-33 (March 2023)Effects of diversity incentives on sample diversity and downstream model performance in LLM-based text augmentation., , , , , and . CoRR, (2024)Fine-Tuning, Prompting, In-Context Learning and Instruction-Tuning: How Many Labelled Samples Do We Need?, , and . CoRR, (2024)KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection., , , , and . SemEval@ACL, page 629-637. Association for Computational Linguistics, (2023)An Audit of Misinformation Filter Bubbles on YouTube: Bubble Bursting and Recent Behavior Changes., , , , , , , , , and . RecSys, page 1-11. ACM, (2021)Automatic Combination of Sample Selection Strategies for Few-Shot Learning., , , and . CoRR, (2024)