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MUX-PLMs: Pre-training Language Models with Data Multiplexing., , , , , , and . RepL4NLP@ACL, page 196-211. Association for Computational Linguistics, (2023)MUX-PLMs: Data Multiplexing for High-throughput Language Models., , , , , , and . EMNLP (Findings), page 4540-4554. Association for Computational Linguistics, (2023)DataMUX: Data Multiplexing for Neural Networks., , , and . NeurIPS, (2022)C-STS: Conditional Semantic Textual Similarity., , , , , , , , and . EMNLP, page 5669-5690. Association for Computational Linguistics, (2023)A smart city model based on citizen-sensors., , and . ISC2, page 1-2. IEEE, (2015)CARETS: A Consistency And Robustness Evaluative Test Suite for VQA., , and . ACL (1), page 6392-6405. Association for Computational Linguistics, (2022)Introduction to E-justice and E-law Minitrack., , and . HICSS, page 2095. IEEE Computer Society, (2015)SWE-bench: Can Language Models Resolve Real-World GitHub Issues?, , , , , , and . CoRR, (2023)Artificial Intelligence in Government., , and . Computer, 53 (10): 23-27 (2020)Investigating a two headed monster: e-government: crossing over from electronic era to digital revolution., , and . SIGCAS Comput. Soc., 46 (4): 12-17 (2017)