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KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding.

, , , , and . CoRR, (2022)

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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)What Does the Bot Say? Opportunities and Risks of Large Language Models in Social Media Bot Detection., , , , , and . CoRR, (2024)BotMoE: Twitter Bot Detection with Community-Aware Mixtures of Modal-Specific Experts., , , , , and . SIGIR, page 485-495. ACM, (2023)AHEAD: A Triple Attention Based Heterogeneous Graph Anomaly Detection Approach., , , , , , and . CoRR, (2022)CooK: Empowering General-Purpose Language Models with Modular and Collaborative Knowledge., , , , , and . CoRR, (2023)KALM: Knowledge-Aware Integration of Local, Document, and Global Contexts for Long Document Understanding., , , , and . ACL (1), page 2116-2138. Association for Computational Linguistics, (2023)From Pretraining Data to Language Models to Downstream Tasks: Tracking the Trails of Political Biases Leading to Unfair NLP Models., , , and . ACL (1), page 11737-11762. Association for Computational Linguistics, (2023)BotRGCN: Twitter bot detection with relational graph convolutional networks., , , and . ASONAM, page 236-239. ACM, (2021)TwiBot-20: A Comprehensive Twitter Bot Detection Benchmark., , , , and . CIKM, page 4485-4494. ACM, (2021)