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On the Zero-Shot Generalization of Machine-Generated Text Detectors.

X. Pu, J. Zhang, X. Han, Y. Tsvetkov, и T. He. EMNLP (Findings), стр. 4799-4808. Association for Computational Linguistics, (2023)

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Chunmao He

Hongxia He

Ning He

Xiaowen He

Hucang He

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Analysis of Gradient Clipping and Adaptive Scaling with a Relaxed Smoothness Condition.J. Zhang, T. He, S. Sra, и A. Jadbabaie. CoRR, (2019)KGQuiz: Evaluating the Generalization of Encoded Knowledge in Large Language Models.Y. Bai, S. Feng, V. Balachandran, Z. Tan, S. Lou, T. He, и Y. Tsvetkov. CoRR, (2023)Multi-view LSTM Language Model with Word-Synchronized Auxiliary Feature for LVCSR.Y. Wu, T. He, Z. Chen, Y. Qian, и K. Yu. CCL, том 10565 из Lecture Notes in Computer Science, стр. 398-410. Springer, (2017)Recurrent neural network language model with structured word embeddings for speech recognition.T. He, X. Xiang, Y. Qian, и K. Yu. ICASSP, стр. 5396-5400. IEEE, (2015)Learning Syntax Without Planting Trees: Understanding When and Why Transformers Generalize Hierarchically.K. Ahuja, V. Balachandran, M. Panwar, T. He, N. Smith, N. Goyal, и Y. Tsvetkov. CoRR, (2024)Detecting Egregious Responses in Neural Sequence-to-sequence Models.T. He, и J. Glass. ICLR (Poster), OpenReview.net, (2019)Negative Training for Neural Dialogue Response Generation.T. He, и J. Glass. CoRR, (2019)Analyzing the Forgetting Problem in Pretrain-Finetuning of Open-domain Dialogue Response Models.T. He, J. Liu, K. Cho, M. Ott, B. Liu, J. Glass, и F. Peng. EACL, стр. 1121-1133. Association for Computational Linguistics, (2021)PCFG-Based Natural Language Interface Improves Generalization for Controlled Text Generation.J. Zhang, J. Glass, и T. He. *SEM@ACL, стр. 295-313. Association for Computational Linguistics, (2023)On the Blind Spots of Model-Based Evaluation Metrics for Text Generation.T. He, J. Zhang, T. Wang, S. Kumar, K. Cho, J. Glass, и Y. Tsvetkov. ACL (1), стр. 12067-12097. Association for Computational Linguistics, (2023)

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