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Choisir le bon co-équipier pour la génération coopérative de texte (Choosing The Right Teammate For Cooperative Text Generation)., , , , , , and . TALN-RECITAL, page 12-26. ATALA, (2022)Natural Language Generation with Reinforcement Learning. (Génération de Langage Naturel par Apprentissage par Renforcement).. Sorbonne University, Paris, France, (2022)Skim-Attention: Learning to Focus via Document Layout., , , and . EMNLP (Findings), page 2413-2427. Association for Computational Linguistics, (2021)Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering., , , , , and . EMNLP (1), page 7016-7030. Association for Computational Linguistics, (2021)A Multifaceted Framework to Evaluate Evasion, Content Preservation, and Misattribution in Authorship Obfuscation Techniques., , , and . EMNLP, page 2391-2406. Association for Computational Linguistics, (2022)NL-Augmenter: A Framework for Task-Sensitive Natural Language Augmentation., , , , , , , , , and 115 other author(s). CoRR, (2021)Data-QuestEval: A Referenceless Metric for Data-to-Text Semantic Evaluation., , , , , , , and . EMNLP (1), page 8029-8036. Association for Computational Linguistics, (2021)ColdGANs: Taming Language GANs with Cautious Sampling Strategies., , , , and . NeurIPS, (2020)Answers Unite! Unsupervised Metrics for Reinforced Summarization Models., , , and . EMNLP/IJCNLP (1), page 3244-3254. Association for Computational Linguistics, (2019)WorldSense: A Synthetic Benchmark for Grounded Reasoning in Large Language Models., , , , , , , , , and . CoRR, (2023)