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Coreferential Reasoning Learning for Language Representation., , , , , and . CoRR, (2020)When to Trust Aggregated Gradients: Addressing Negative Client Sampling in Federated Learning., , , , , and . CoRR, (2023)Accelerating Pre-trained Language Models via Calibrated Cascade., , , , , , , and . CoRR, (2020)Unlock Predictable Scaling from Emergent Abilities., , , , , , , , , and 2 other author(s). CoRR, (2023)CSS-LM: A Contrastive Framework for Semi-Supervised Fine-Tuning of Pre-Trained Language Models., , , , , , , and . IEEE ACM Trans. Audio Speech Lang. Process., (2021)Improving Neural Fine-Grained Entity Typing With Knowledge Attention., , , and . AAAI, page 5997-6004. AAAI Press, (2018)OpenKE: An Open Toolkit for Knowledge Embedding., , , , , , and . EMNLP (Demonstration), page 139-144. Association for Computational Linguistics, (2018)Incorporating Relation Paths in Neural Relation Extraction., , , and . EMNLP, page 1768-1777. Association for Computational Linguistics, (2017)XQA: A Cross-lingual Open-domain Question Answering Dataset., , , and . ACL (1), page 2358-2368. Association for Computational Linguistics, (2019)ELLE: Efficient Lifelong Pre-training for Emerging Data., , , , , , and . ACL (Findings), page 2789-2810. Association for Computational Linguistics, (2022)