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Décodage guidé par un discriminateur avec le Monte Carlo Tree Search pour la génération de texte contrainte (Discriminator-guided decoding with Monte Carlo Tree Search for constrained text generation ).

, , and . TALN-RECITAL, page 27-41. ATALA, (2022)

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Multitask Prompted Training Enables Zero-Shot Task Generalization, , , , , , , , , and 30 other author(s). International Conference on Learning Representations, (2022)"Honey, Tell Me What's Wrong", Explicabilité Globale des Modèles de TAL par la Génération Coopérative., and . CORIA-TALN (1), page 105-122. ATALA, (2023)Which Discriminator for Cooperative Text Generation?, , , , , , and . SIGIR, page 2360-2365. ACM, (2022)Three Bricks to Consolidate Watermarks for Large Language Models., , , , and . WIFS, page 1-6. IEEE, (2023)La génération de textes artificiels en substitution ou en complément de données d'apprentissage (Generating artificial texts as substitution or complement of training data )., , and . TALN (1), page 37-49. ATALA, (2021)Generating Artificial Texts as Substitution or Complement of Training Data., , and . LREC, page 4260-4269. European Language Resources Association, (2022)Multitask Prompted Training Enables Zero-Shot Task Generalization., , , , , , , , , and 30 other author(s). ICLR, OpenReview.net, (2022)Multimodal misinformation detection overcoming the training data collection challenge through data generation. (Détection de désinformation multimodale : surmonter le défi de la collecte de données d'entraînement grâce à la génération de données).. University of Rennes 1, France, (2023)PPL-MCTS: Constrained Textual Generation Through Discriminator-Guided MCTS Decoding., , and . NAACL-HLT, page 2953-2967. Association for Computational Linguistics, (2022)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)