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What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection.

, , , , , and . ACL (1), page 3580-3601. Association for Computational Linguistics, (2024)

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BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts., , , , , and . SIGIR, page 485-495. ACM, (2023)KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models., , , , , , and . CoRR, (2023)KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion., , , , , , and . CoRR, (2022)Empirical Guidelines for Deploying LLMs onto Resource-constrained Edge Devices., , , , , , , , , and . CoRR, (2024)BotPercent: Estimating Twitter Bot Populations from Groups to Crowds., , , , , , and . CoRR, (2023)KRACL: Contrastive Learning with Graph Context Modeling for Sparse Knowledge Graph Completion., , , , , , and . WWW, page 2548-2559. ACM, (2023)Detecting Spoilers in Movie Reviews with External Movie Knowledge and User Networks., , , , , , and . EMNLP, page 16035-16050. Association for Computational Linguistics, (2023)Knowledge Crosswords: Geometric Reasoning over Structured Knowledge with Large Language Models., , , , , , and . CoRR, (2023)GADY: Unsupervised Anomaly Detection on Dynamic Graphs., , , , , and . CoRR, (2023)Personalized Pieces: Efficient Personalized Large Language Models through Collaborative Efforts., , and . CoRR, (2024)