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The PhotoBook Dataset: Building Common Ground through Visually-Grounded Dialogue.

, , , , , and . ACL (1), page 1895-1910. Association for Computational Linguistics, (2019)

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Co-evolution of language and agents in referential games., , and . CoRR, (2020)Incentivizing the Emergence of Grounded Discrete Communication Between General Agents., and . CoRR, (2020)Separating form and meaning: Using self-consistency to quantify task understanding across multiple senses., , and . CoRR, (2023)Reading visually embodied meaning from the brain: Visually grounded computational models decode visual-object mental imagery induced by written text., , , , and . NeuroImage, (2015)Adversarial evaluation for open-domain dialogue generation., and . SIGDIAL Conference, page 284-288. Association for Computational Linguistics, (2017)The Paradox of the Compositionality of Natural Language: A Neural Machine Translation Case Study., , and . ACL (1), page 4154-4175. Association for Computational Linguistics, (2022)Context Shapes Emergent Communication about Concepts at Different Levels of Abstraction., , , and . LREC/COLING, page 3831-3848. ELRA and ICCL, (2024)Jointly Learning to See, Ask, and GuessWhat., , , , , and . CoRR, (2018)Adding Object Detection Skills to Visual Dialogue Agents., , , , , , , , and . ECCV Workshops (4), volume 11132 of Lecture Notes in Computer Science, page 180-187. Springer, (2018)GRASP: A novel benchmark for evaluating language GRounding And Situated Physics understanding in multimodal language models., , , , , and . CoRR, (2023)