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ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.

J. Zhang, A. Muhamed, A. Anantharaman, G. Wang, C. Chen, K. Zhong, Q. Cui, Y. Xu, B. Zeng, T. Chilimbi, и Y. Chen. ACL (2), стр. 1128-1136. Association for Computational Linguistics, (2023)

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Asynchronous Convergence in Multi-Task Learning via Knowledge Distillation from Converged Tasks.W. Lu, S. Rajagopalan, P. Nigam, J. Singh, X. Sun, Y. Xu, B. Zeng, и T. Chilimbi. NAACL-HLT (Industry Papers), стр. 149-159. Association for Computational Linguistics, (2022)Understanding and Constructing Latent Modality Structures in Multi-Modal Representation Learning.Q. Jiang, C. Chen, H. Zhao, L. Chen, Q. Ping, S. Tran, Y. Xu, B. Zeng, и T. Chilimbi. CVPR, стр. 7661-7671. IEEE, (2023)VidLA: Video-Language Alignment at Scale.M. Rizve, F. Fei, J. Unnikrishnan, S. Tran, B. Yao, B. Zeng, M. Shah, и T. Chilimbi. CoRR, (2024)X-Former: Unifying Contrastive and Reconstruction Learning for MLLMs.S. Swetha, J. Yang, T. Neiman, M. Rizve, S. Tran, B. Yao, T. Chilimbi, и M. Shah. CoRR, (2024)DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction.A. Muhamed, J. Singh, S. Zheng, I. Keivanloo, S. Perera, J. Mracek, Y. Xu, Q. Cui, S. Rajagopalan, B. Zeng и 1 other автор(ы). WWW (Companion Volume), стр. 110-115. ACM, (2022)Magic Pyramid: Accelerating Inference with Early Exiting and Token Pruning.X. He, I. Keivanloo, Y. Xu, X. He, B. Zeng, S. Rajagopalan, и T. Chilimbi. CoRR, (2021)Efficient and effective training of language and graph neural network models.V. Ioannidis, X. Song, D. Zheng, H. Zhang, J. Ma, Y. Xu, B. Zeng, T. Chilimbi, и G. Karypis. CoRR, (2022)Multi-modal Alignment using Representation Codebook.J. Duan, L. Chen, S. Tran, J. Yang, Y. Xu, B. Zeng, и T. Chilimbi. CVPR, стр. 15630-15639. IEEE, (2022)MICO: Selective Search with Mutual Information Co-training.Z. Wang, X. Zhang, H. Yun, C. Teo, и T. Chilimbi. CoRR, (2022)OssCSE: Overcoming Surface Structure Bias in Contrastive Learning for Unsupervised Sentence Embedding.Z. Shi, G. Wang, K. Bai, J. Li, X. Li, Q. Cui, B. Zeng, T. Chilimbi, и X. Zhu. EMNLP, стр. 7242-7254. Association for Computational Linguistics, (2023)

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