[go: up one dir, main page]

Follow
Raphael Tang
Title
Cited by
Cited by
Year
Distilling Task-Specific Knowledge from BERT into Simple Neural Networks
R Tang*, Y Lu*, L Liu*, L Mou, O Vechtomova, J Lin
arXiv preprint arXiv:1903.12136, 2019
5592019
DocBERT: BERT for Document Classification
A Adhikari, A Ram, R Tang, J Lin
arXiv preprint arXiv:1904.08398, 2019
5312019
DeeBERT: Dynamic early exiting for accelerating BERT inference
J Xin, R Tang, J Lee, Y Yu, J Lin
arXiv preprint arXiv:2004.12993, 2020
5022020
Deep Residual Learning for Small-Footprint Keyword Spotting
R Tang, J Lin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
3172018
What the DAAM: Interpreting Stable Diffusion Using Cross Attention
R Tang*, L Liu*, A Pandey, Z Jiang, G Yang, K Kumar, P Stenetorp, J Lin, ...
arXiv preprint arXiv:2210.04885, 2022
2522022
What would elsa do? freezing layers during transformer fine-tuning
J Lee, R Tang, J Lin
arXiv preprint arXiv:1911.03090, 2019
2022019
BERxiT: Early exiting for BERT with better fine-tuning and extension to regression
J Xin, R Tang, Y Yu, J Lin
Proceedings of the 16th conference of the European chapter of the …, 2021
1662021
Rethinking Complex Neural Network Architectures for Document Classification
A Adhikari*, A Ram*, R Tang, J Lin
Proceedings of the 2019 Conference of the North American Chapter of the …, 2019
1482019
“Low-resource” text classification: A parameter-free classification method with compressors
Z Jiang, M Yang, M Tsirlin, R Tang, Y Dai, J Lin
Findings of the Association for Computational Linguistics: ACL 2023, 6810-6828, 2023
1392023
Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models
R Tang*, X Zhang*, X Ma, J Lin, F Ture
arXiv preprint arXiv:2310.07712, 2023
942023
Rapidly Bootstrapping a Question Answering Dataset for COVID-19
R Tang, R Nogueira, E Zhang, N Gupta, P Cam, K Cho, J Lin
arXiv preprint arXiv:2004.11339, 2020
842020
The art of abstention: Selective prediction and error regularization for natural language processing
J Xin, R Tang, Y Yu, J Lin
Proceedings of the 59th Annual Meeting of the Association for Computational …, 2021
832021
Covidex: neural ranking models and keyword search infrastructure for the COVID-19 open research dataset
E Zhang, N Gupta, R Tang, X Han, R Pradeep, K Lu, Y Zhang, R Nogueira, ...
arXiv preprint arXiv:2007.07846, 2020
712020
An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting
R Tang, W Wang, Z Tu, J Lin
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
622018
Flops as a direct optimization objective for learning sparse neural networks
R Tang, A Adhikari, J Lin
arXiv preprint arXiv:1811.03060, 2018
482018
Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting
R Tang, J Lin
arXiv preprint arXiv:1710.06554, 2017
472017
Exploring the limits of simple learners in knowledge distillation for document classification with DocBERT
A Adhikari, A Ram, R Tang, WL Hamilton, J Lin
Proceedings of the 5th Workshop on Representation Learning for NLP, 72-77, 2020
442020
Rank-without-gpt: Building gpt-independent listwise rerankers on open-source large language models
C Zhang, S Hofstätter, P Lewis, R Tang, J Lin
European Conference on Information Retrieval, 233-247, 2025
402025
Natural Language Generation for Effective Knowledge Distillation
R Tang, Y Lu, J Lin
Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource …, 2019
382019
FoodieQA: A multimodal dataset for fine-grained understanding of Chinese food culture
W Li, C Zhang, J Li, Q Peng, R Tang, L Zhou, W Zhang, G Hu, Y Yuan, ...
Proceedings of the 2024 Conference on Empirical Methods in Natural Language …, 2024
242024
The system can't perform the operation now. Try again later.
Articles 1–20