Raphael Tang

According to our database, Raphael Tang authored at least 42 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models.

Xinyu Zhang, Sebastian Hofstätter, Patrick Lewis, Raphael Tang, Jimmy Lin

CoRR, 2023

What Do Llamas Really Think? Revealing Preference Biases in Language Model Representations.

Raphael Tang, Xinyu Zhang, Jimmy Lin, Ferhan Ture

CoRR, 2023

Found in the Middle: Permutation Self-Consistency Improves Listwise Ranking in Large Language Models.

Raphael Tang, Xinyu Zhang, Xueguang Ma, Jimmy Lin, Ferhan Ture

CoRR, 2023

Operator Selection and Ordering in a Pipeline Approach to Efficiency Optimizations for Transformers.

Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

What the DAAM: Interpreting Stable Diffusion Using Cross Attention.

Raphael Tang, Linqing Liu, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Pontus Stenetorp, Jimmy Lin, Ferhan Ture

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

"Low-Resource" Text Classification: A Parameter-Free Classification Method with Compressors.

Zhiying Jiang, Matthew Y. R. Yang, Mikhail Tsirlin, Raphael Tang, Yiqin Dai, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

2022

Less is More: Parameter-Free Text Classification with Gzip.

Zhiying Jiang, Matthew Y. R. Yang, Mikhail Tsirlin, Raphael Tang, Jimmy Lin

CoRR, 2022

What the DAAM: Interpreting Stable Diffusion Using Cross Attention.

Raphael Tang, Akshat Pandey, Zhiying Jiang, Gefei Yang, Karun Kumar, Jimmy Lin, Ferhan Ture

CoRR, 2022

Building an Efficiency Pipeline: Commutativity and Cumulativeness of Efficiency Operators for Transformers.

Ji Xin, Raphael Tang, Zhiying Jiang, Yaoliang Yu, Jimmy Lin

CoRR, 2022

Temporal Early Exiting for Streaming Speech Commands Recognition.

Raphael Tang, Karun Kumar, Ji Xin, Piyush Vyas, Wenyan Li, Gefei Yang, Yajie Mao, G. Craig Murray, Jimmy Lin

Proceedings of the IEEE International Conference on Acoustics, 2022

SpeechNet: Weakly Supervised, End-to-End Speech Recognition at Industrial Scale.

Raphael Tang, Karun Kumar, Gefei Yang, Akshat Pandey, Yajie Mao, Vladislav Belyaev, Madhuri Emmadi, G. Craig Murray, Ferhan Ture, Jimmy Lin

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: EMNLP 2022 - Industry Track, Abu Dhabi, UAE, December 7, 2022

2021

Voice Query Auto Completion.

Raphael Tang, Karun Kumar, Kendra Chalkley, Ji Xin, Liming Zhang, Wenyan Li, Gefei Yang, Yajie Mao, Junho Shin, Geoffrey Craig Murray, Jimmy Lin

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

BERxiT: Early Exiting for BERT with Better Fine-Tuning and Extension to Regression.

Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

How Does BERT Rerank Passages? An Attribution Analysis with Information Bottlenecks.

Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin

Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, 2021

The Art of Abstention: Selective Prediction and Error Regularization for Natural Language Processing.

Ji Xin, Raphael Tang, Yaoliang Yu, Jimmy Lin

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Inserting Information Bottlenecks for Attribution in Transformers.

Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin

CoRR, 2020

Howl: A Deployed, Open-Source Wake Word Detection System.

Raphael Tang, Jaejun Lee, Afsaneh Razi, Julia Cambre, Ian Bicking, Jofish Kaye, Jimmy Lin

CoRR, 2020

Rapidly Bootstrapping a Question Answering Dataset for COVID-19.

Raphael Tang, Rodrigo Frassetto Nogueira, Edwin Zhang, Nikhil Gupta, Phuong Cam, Kyunghyun Cho, Jimmy Lin

CoRR, 2020

Exploring the Limits of Simple Learners in Knowledge Distillation for Document Classification with DocBERT.

Ashutosh Adhikari, Achyudh Ram, Raphael Tang, William L. Hamilton, Jimmy Lin

Proceedings of the 5th Workshop on Representation Learning for NLP, 2020

Covidex: Neural Ranking Models and Keyword Search Infrastructure for the COVID-19 Open Research Dataset.

Edwin Zhang, Nikhil Gupta, Raphael Tang, Xiao Han, Ronak Pradeep, Kuang Lu, Yue Zhang, Rodrigo Frassetto Nogueira, Kyunghyun Cho, Hui Fang, Jimmy Lin

Proceedings of the First Workshop on Scholarly Document Processing, 2020

Inserting Information Bottleneck for Attribution in Transformers.

Zhiying Jiang, Raphael Tang, Ji Xin, Jimmy Lin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

DeeBERT: Dynamic Early Exiting for Accelerating BERT Inference.

Ji Xin, Raphael Tang, Jaejun Lee, Yaoliang Yu, Jimmy Lin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Showing Your Work Doesn't Always Work.

Raphael Tang, Jaejun Lee, Ji Xin, Xinyu Liu, Yaoliang Yu, Jimmy Lin

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

2019

What Would Elsa Do? Freezing Layers During Transformer Fine-Tuning.

Jaejun Lee, Raphael Tang, Jimmy Lin

CoRR, 2019

Explicit Pairwise Word Interaction Modeling Improves Pretrained Transformers for English Semantic Similarity Tasks.

Yinan Zhang, Raphael Tang, Jimmy Lin

CoRR, 2019

DocBERT: BERT for Document Classification.

Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin

CoRR, 2019

Distilling Task-Specific Knowledge from BERT into Simple Neural Networks.

Raphael Tang, Yao Lu, Linqing Liu, Lili Mou, Olga Vechtomova, Jimmy Lin

CoRR, 2019

Challenges and Opportunities in Understanding Spoken Queries Directed at Modern Entertainment Platforms.

Ferhan Türe, Jinfeng Rao, Raphael Tang, Jimmy Lin

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Yelling at Your TV: An Analysis of Speech Recognition Errors and Subsequent User Behavior on Entertainment Systems.

Raphael Tang, Ferhan Türe, Jimmy Lin

Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Rethinking Complex Neural Network Architectures for Document Classification.

Ashutosh Adhikari, Achyudh Ram, Raphael Tang, Jimmy Lin

Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2019

Universal voice-enabled user interfaces using JavaScript.

Jaejun Lee, Raphael Tang, Jimmy Lin

Proceedings of the 24th International Conference on Intelligent User Interfaces: Companion, 2019

Incorporating Contextual and Syntactic Structures Improves Semantic Similarity Modeling.

Linqing Liu, Wei Yang, Jinfeng Rao, Raphael Tang, Jimmy Lin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Honkling: In-Browser Personalization for Ubiquitous Keyword Spotting.

Jaejun Lee, Raphael Tang, Jimmy Lin

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

Natural Language Generation for Effective Knowledge Distillation.

Raphael Tang, Yao Lu, Jimmy Lin

Proceedings of the 2nd Workshop on Deep Learning Approaches for Low-Resource NLP, 2019

2018

Streaming Voice Query Recognition using Causal Convolutional Recurrent Neural Networks.

Raphael Tang, Gefei Yang, Hong Wei, Yajie Mao, Ferhan Türe, Jimmy Lin

CoRR, 2018

FLOPs as a Direct Optimization Objective for Learning Sparse Neural Networks.

Raphael Tang, Ashutosh Adhikari, Jimmy Lin

CoRR, 2018

Progress and Tradeoffs in Neural Language Models.

Raphael Tang, Jimmy Lin

CoRR, 2018

JavaScript Convolutional Neural Networks for Keyword Spotting in the Browser: An Experimental Analysis.

Jaejun Lee, Raphael Tang, Jimmy Lin

CoRR, 2018

Adaptive Pruning of Neural Language Models for Mobile Devices.

Raphael Tang, Jimmy Lin

CoRR, 2018

An Experimental Analysis of the Power Consumption of Convolutional Neural Networks for Keyword Spotting.

Raphael Tang, Weijie Wang, Zhucheng Tu, Jimmy Lin

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Deep Residual Learning for Small-Footprint Keyword Spotting.

Raphael Tang, Jimmy Lin

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Honk: A PyTorch Reimplementation of Convolutional Neural Networks for Keyword Spotting.

Raphael Tang, Jimmy Lin

CoRR, 2017