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P3LM: Probabilistically Permuted Prophet Language Modeling for Generative Pre-Training.

, , , , , , and . EMNLP (Findings), page 6663-6675. Association for Computational Linguistics, (2022)

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GLGE: A New General Language Generation Evaluation Benchmark., , , , , , , , , and 8 other author(s). CoRR, (2020)XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation., , , , , , , , , and 13 other author(s). CoRR, (2020)Graph-Based Transformer with Cross-Candidate Verification for Semantic Parsing., , , , , and . AAAI, page 8807-8814. AAAI Press, (2020)Joint Type Inference on Entities and Relations via Graph Convolutional Networks., , , , , , , and . ACL (1), page 1361-1370. Association for Computational Linguistics, (2019)Multi-level Alignment Pretraining for Multi-lingual Semantic Parsing., , , , and . COLING, page 3246-3256. International Committee on Computational Linguistics, (2020)SimANS: Simple Ambiguous Negatives Sampling for Dense Text Retrieval., , , , , , , , , and . EMNLP (Industry Track), page 548-559. Association for Computational Linguistics, (2022)Leveraging Document-Level Label Consistency for Named Entity Recognition., , , , , and . IJCAI, page 3976-3982. ijcai.org, (2020)Scheduled for July 2020, Yokohama, Japan, postponed due to the Corona pandemic..AnnoLLM: Making Large Language Models to Be Better Crowdsourced Annotators., , , , , , , , , and . CoRR, (2023)Noisy Pair Corrector for Dense Retrieval., , , , , , and . EMNLP (Findings), page 11439-11451. Association for Computational Linguistics, (2023)CAPSTONE: Curriculum Sampling for Dense Retrieval with Document Expansion., , , , , , , and . EMNLP, page 10531-10541. Association for Computational Linguistics, (2023)