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Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework.

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ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models., , , , , , and . CoRR, (2024)Enhancing Factual Consistency of Abstractive Summarization., , , , , , and . NAACL-HLT, page 718-733. Association for Computational Linguistics, (2021)Experiments in Curation: Towards Machine-Assisted Construction of Software Architecture Knowledge Bases., , , , and . ICSA, page 79-88. IEEE Computer Society, (2017)Low-resource Cross-lingual Event Type Detection via Distant Supervision with Minimal Effort., , , , , , and . COLING, page 70-82. Association for Computational Linguistics, (2018)Cross-lingual Alignment vs Joint Training: A Comparative Study and A Simple Unified Framework., , , , , and . ICLR, OpenReview.net, (2020)G-Eval: NLG Evaluation using Gpt-4 with Better Human Alignment., , , , , and . EMNLP, page 2511-2522. Association for Computational Linguistics, (2023)Z-Code++: A Pre-trained Language Model Optimized for Abstractive Summarization., , , , , , , , , and 2 other author(s). ACL (1), page 5095-5112. Association for Computational Linguistics, (2023)Rho-1: Not All Tokens Are What You Need., , , , , , , , , and 1 other author(s). CoRR, (2024)OmChat: A Recipe to Train Multimodal Language Models with Strong Long Context and Video Understanding., , , , , , , , , and . CoRR, (2024)A Hierarchical Network for Abstractive Meeting Summarization with Cross-Domain Pretraining., , , and . EMNLP (Findings), volume EMNLP 2020 of Findings of ACL, page 194-203. Association for Computational Linguistics, (2020)