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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 13 of 13 1 TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment ... Yang, Jianwei; Bisk, Yonatan; Gao, Jianfeng. - : arXiv, 2021 BASE Show details 2 Few-shot Language Coordination by Modeling Theory of Mind ... Zhu, Hao; Neubig, Graham; Bisk, Yonatan. - : arXiv, 2021 Abstract: $\textit{No man is an island.}$ Humans communicate with a large community by coordinating with different interlocutors within short conversations. This ability has been understudied by the research on building neural communicative agents. We study the task of few-shot $\textit{language coordination}$: agents quickly adapting to their conversational partners' language abilities. Different from current communicative agents trained with self-play, we require the lead agent to coordinate with a $\textit{population}$ of agents with different linguistic abilities, quickly adapting to communicate with unseen agents in the population. This requires the ability to model the partner's beliefs, a vital component of human communication. Drawing inspiration from theory-of-mind (ToM; Premack& Woodruff (1978)), we study the effect of the speaker explicitly modeling the listeners' mental states. The speakers, as shown in our experiments, acquire the ability to predict the reactions of their partner, which helps it ... : Thirty-eighth International Conference on Machine Learning (ICML 2021) ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://dx.doi.org/10.48550/arxiv.2107.05697 https://arxiv.org/abs/2107.05697 BASE Hide details 3 An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games ... Suglia, Alessandro; Bisk, Yonatan; Konstas, Ioannis. - : arXiv, 2021 BASE Show details 4 Grounding 'Grounding' in NLP ... The Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing 2021; ., Alan; Bisk, Yonatan. - : Underline Science Inc., 2021 BASE Show details 5 Dependency Induction Through the Lens of Visual Perception ... Su, Ruisi; Rijhwani, Shruti; Zhu, Hao. - : arXiv, 2021 BASE Show details 6 Dependency Induction Through the Lens of Visual Perception ... The 2021 Conference on Empirical Methods in Natural Language Processing 2021; ., Hao; Bisk, Yonatan. - : Underline Science Inc., 2021 BASE Show details 7 Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ... Suglia, Alessandro; Vergari, Antonio; Konstas, Ioannis. - : arXiv, 2020 BASE Show details 8 Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ... The 28th International Conference on Computational Linguistics 2020; Bastianelli, Emanuele; Bisk, Yonatan. - : Underline Science Inc., 2020 BASE Show details 9 Experience Grounds Language ... Bisk, Yonatan; Holtzman, Ari; Thomason, Jesse. - : arXiv, 2020 BASE Show details 10 The Return of Lexical Dependencies: Neural Lexicalized PCFGs ... Zhu, Hao; Bisk, Yonatan; Neubig, Graham. - : arXiv, 2020 BASE Show details 11 Shifting the Baseline: Single Modality Performance on Visual Navigation & QA ... Thomason, Jesse; Gordon, Daniel; Bisk, Yonatan. - : arXiv, 2018 BASE Show details 12 Natural Language Inference from Multiple Premises ... Lai, Alice; Bisk, Yonatan; Hockenmaier, Julia. - : arXiv, 2017 BASE Show details 13 Unsupervised grammar induction with Combinatory Categorial Grammars Bisk, Yonatan Yitzhak. - 2015 BASE Show details

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