| Information density converges in dialogue: Towards an information-theoretic model Y Xu, D Reitter Cognition 170, 147--163, 2018 | 45 | 2018 |
| An evaluation and comparison of linguistic alignment measures Y Xu, D Reitter The Workshop of Cognitive Modeling and Computational Linguistics (CMCL), 58--67, 2015 | 35 | 2015 |
| Convergence of Syntactic Complexity in Conversation Y Xu, D Reitter The 54th Annual Meeting of the Association for Computational Linguistics 1 …, 2016 | 24 | 2016 |
| Entropy Converges Between Dialogue Participants: Explanations from an Information-Theoretic Perspective Y Xu, D Reitter The 54th Annual Meeting of the Association for Computational Linguistics 1 …, 2016 | 21 | 2016 |
| Spectral analysis of information density in dialogue predicts collaborative task performance Y Xu, D Reitter Proceedings of the 55th Annual Meeting of the Association for Computational …, 2017 | 17 | 2017 |
| Not that much power: Linguistic alignment is influenced more by low-level linguistic features rather than social power Y Xu, J Cole, D Reitter The 56th Annual Meeting of the Association for Computational Linguistics 1, 601, 2018 | 10 | 2018 |
| Which sentence embeddings and which layers encode syntactic structure? MA Kelly, Y Xu, J Calvillo, D Reitter PsyArXiv, 2020 | 8 | 2020 |
| PaCaNet: A Study on CycleGAN with Transfer Learning for Diversifying Fused Chinese Painting and Calligraphy Z Yang, H Bai, Z Luo, Y Xu, W Pang, Y Wang, Y Yuan, Y Yuan arXiv preprint arXiv:2301.13082, 2023 | 6 | 2023 |
| Global divergence and local convergence of utterance semantic representations in dialogue Y Xu Society for Computation in Linguistics 4 (1), 116--124, 2021 | 6 | 2021 |
| FACE: Evaluating Natural Language Generation with Fourier Analysis of Cross-Entropy Z Yang, Y Yuan, Y Xu, S Zhan, H Bai, K Chen arXiv preprint arXiv:2305.10307, 2023 | 5 | 2023 |
| Historical changes in semantic weights of sub-word units Y Xu, Z Zhang Computational Approaches to Semantic Change, 169--187, 2021 | 5 | 2021 |
| Treat the Word As a Whole or Look Inside? Subword Embeddings Model Language Change and Typology Y Xu, J Zhang, D Reitter The 1st International Workshop on Computational Approaches to Historical …, 2019 | 5 | 2019 |
| Characterizing global statistical significance of spatio-temporal hot spots in MEG/EEG source space via excursion algorithms Y Xu, GP Sudre, W Wang, DJ Weber, RE Kass Statistics in Medicine 30 (23), 2854-2866, 2011 | 3 | 2011 |
| Gestures are used rationally: Information theoretic evidence from neural sequential models Y Xu, Y Cheng, R Bhatia The 29th International Conference on Computational Linguistics, 134--140, 2022 | 2 | 2022 |
| Error-correction and aggregation in crowd-sourcing of geopolitical incident information AG Ororbia, Y Xu, V D’Orazio, D Reitter Social Computing, Behavioral-Cultural Modeling, and Prediction: 8th …, 2015 | 2 | 2015 |
| Detecting subtle differences between human and model languages using spectrum of relative likelihood Y Xu, Y Wang, H An, Z Liu, Y Li arXiv:2406.19874, 2024 | | 2024 |
| Revealing Long-term Language Change with Subword-incorporated Word Embedding Models Y Xu, J Zhang, D Reitter The 41st Annual Conference of the Cognitive Science Society, 3387, 2019 | | 2019 |
| Towards an Information-based Theory of Language Use in Natural Dialogue Y Xu The Pennsylvania State University, 2018 | | 2018 |
| Cognitive Models Predicting Surprise in Robot Operators D Reitter, Y Xu, P Craven, A Sándor, C Garrett, EV Cross, JL Franke 13th International Conference on Cognitive Modeling, ICCM 2015, 190-191, 2015 | | 2015 |
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