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EvEntS ReaLM: Event Reasoning of Entity States via Language Models.

, , , and . EMNLP, page 1982-1997. Association for Computational Linguistics, (2022)

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EvEntS ReaLM: Event Reasoning of Entity States via Language Models., , , and . EMNLP, page 1982-1997. Association for Computational Linguistics, (2022)Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics., , and . NAACL-HLT, page 4812-4829. Association for Computational Linguistics, (2021)Machine Learning at Microsoft with ML.NET., , , , , , , , , and 20 other author(s). KDD, page 2448-2458. ACM, (2019)Machine Learning at Microsoft with ML .NET., , , , , , , , , and 24 other author(s). CoRR, (2019)Definition Frames: Using Definitions for Hybrid Concept Representations., , and . COLING, page 3060-3068. International Committee on Computational Linguistics, (2020)StructSum: Incorporating Latent and Explicit Sentence Dependencies for Single Document Summarization., , , , , and . CoRR, (2020)QLoRA: Efficient Finetuning of Quantized LLMs, , , and . (2023)cite arxiv:2305.14314Comment: Extended NeurIPS submission.StructSum: Summarization via Structured Representations., , , , , and . EACL, page 2575-2585. Association for Computational Linguistics, (2021)Socratic Pretraining: Question-Driven Pretraining for Controllable Summarization., , , and . ACL (1), page 12737-12755. Association for Computational Linguistics, (2023)Threat Scenarios and Best Practices to Detect Neural Fake News., , and . COLING, page 1233-1249. International Committee on Computational Linguistics, (2022)